WAPOR V2 meta data review and inital time series data retrieval. Ensure you have the WaPOR site package is installed (see the content in the folder 'Modules') and have an API token at your disposal. To get an API Token, Sign up/Log into the Portal on WaPOR portal. Click Sign in. If you don't have an account, create a new account, then log in. After logging in, go to My WaPOR > My Profile. Under API Token, click Generate API Token. The API Token is the User's personal key and should be stored (e.g. as a *.txt file on your local system) and kept private.
Before continuation with WaPOR, we first need to install a few required resources in the Copernicus Data Space Ecosystem, like GDAL, Pyshp and Matplotlib. If not installed execute the code field below. Within the Copernicus Data Space environment, the system is ‘cleaned’ on a daily basis, but files situated within the folder ‘mystorage’ are retained. This storage area, having a size of 10 GB, is preserved when you logout. This entails also that you have to re-install the resources, like additional python site-packages when you start a new session a couple of days later. Note that first time installation of these resources will take some time. Once these site-packages are installed we can import them and make use of their capabilities.
import os # module for interacting with the operating system
import shapefile # module for reading shapefile
import matplotlib.pyplot as plt # module for plotting
import sys
import pandas as pd
import warnings
import numpy as np
np.warnings = warnings
folder = os.getcwd()+'/Modules'
sys.path.append(folder) #add folder with local modules to system paths #change working directory to 'Modules' folder
import WaPOR # Import local module in 'Modules' folder
37114a36931aec3bf805f1dcb539f45988db07524612ff61da8d9469961c857e3b07ee2d5a9a8df6
WaPOR.API.version=2 #select WaPOR version
WaPOR.API.getCatalog()
Loading WaPOR catalog... Loading WaPOR catalog...Done
code | caption | description | additionalInfo | tags | workspaceCode | dataType | index | operation | hidden | links | measure | dimension | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | L1_GBWP_A | Gross Biomass Water Productivity | The annual Gross Biomass Water Productivity ex... | {'format': 'Raster Dataset', 'unit': 'kg/m³ is... | [{'name': 'L1', 'index': 1, 'context': 'LEVELS... | WAPOR_2 | RASTER | 101 | {'pixelTimeSeries': True, 'areaStatsTimeSeries... | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'WPR', 'caption': 'Water Productivity... | [{'code': 'YEAR', 'caption': 'Year', 'descript... |
1 | L1_NBWP_A | Net Biomass Water Productivity | The annual Net Biomass Water Productivity expr... | {'format': 'Raster Dataset', 'unit': 'kg/m³ is... | [{'name': 'L1', 'index': 2, 'context': 'LEVELS... | WAPOR_2 | RASTER | 102 | {'pixelTimeSeries': True, 'areaStatsTimeSeries... | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'WPR', 'caption': 'Water Productivity... | [{'code': 'YEAR', 'caption': 'Year', 'descript... |
2 | L1_AETI_A | Actual EvapoTranspiration and Interception (An... | The actual EvapoTranspiration and Interception... | {'format': 'Raster Dataset', 'unit': 'mm', 'da... | [{'name': 'L1', 'index': 3, 'context': 'LEVELS... | WAPOR_2 | RASTER | 103 | {'pixelTimeSeries': True, 'areaStatsTimeSeries... | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'WATER_MM', 'caption': 'Amount of Wat... | [{'code': 'YEAR', 'caption': 'Year', 'descript... |
3 | L1_AETI_M | Actual EvapoTranspiration and Interception (Mo... | The actual EvapoTranspiration and Interception... | {'format': 'Raster Dataset', 'unit': 'mm', 'da... | [{'name': 'L1', 'index': 4, 'context': 'LEVELS... | WAPOR_2 | RASTER | 104 | {'pixelTimeSeries': True, 'areaStatsTimeSeries... | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'WATER_MM', 'caption': 'Amount of Wat... | [{'code': 'MONTH', 'caption': 'Month', 'worksp... |
4 | L1_AETI_D | Actual EvapoTranspiration and Interception (De... | The actual EvapoTranspiration and Interception... | {'format': 'Raster Dataset', 'unit': 'mm', 'da... | [{'name': 'L1', 'index': 5, 'context': 'LEVELS... | WAPOR_2 | RASTER | 105 | {'pixelTimeSeries': True, 'areaStatsTimeSeries... | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'WATER_MM', 'caption': 'Amount of Wat... | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days ... |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
245 | L3_GEZ_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation In... | The long-term NDVI quality layer is produced a... | {'format': 'Raster Dataset', 'unit': '%', 'dat... | [{'name': 'L3', 'index': 220, 'context': 'LEVE... | WAPOR_2 | RASTER | 30220 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'ACC', 'caption': 'Accuracy', 'descri... | [{'code': 'LTP', 'caption': 'Long Term', 'desc... |
246 | L3_KOG_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation In... | The long-term NDVI quality layer is produced a... | {'format': 'Raster Dataset', 'unit': '%', 'dat... | [{'name': 'L3', 'index': 221, 'context': 'LEVE... | WAPOR_2 | RASTER | 30221 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'ACC', 'caption': 'Accuracy', 'descri... | [{'code': 'LTP', 'caption': 'Long Term', 'desc... |
247 | L3_LAM_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation In... | The long-term NDVI quality layer is produced a... | {'format': 'Raster Dataset', 'unit': '%', 'dat... | [{'name': 'L3', 'index': 222, 'context': 'LEVE... | WAPOR_2 | RASTER | 30222 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'ACC', 'caption': 'Accuracy', 'descri... | [{'code': 'LTP', 'caption': 'Long Term', 'desc... |
248 | L3_ODN_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation In... | The long-term NDVI quality layer is produced a... | {'format': 'Raster Dataset', 'unit': '%', 'dat... | [{'name': 'L3', 'index': 225, 'context': 'LEVE... | WAPOR_2 | RASTER | 30225 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'ACC', 'caption': 'Accuracy', 'descri... | [{'code': 'LTP', 'caption': 'Long Term', 'desc... |
249 | L3_ZAN_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation In... | The long-term NDVI quality layer is produced a... | {'format': 'Raster Dataset', 'unit': '%', 'dat... | [{'name': 'L3', 'index': 228, 'context': 'LEVE... | WAPOR_2 | RASTER | 30228 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.... | {'code': 'ACC', 'caption': 'Accuracy', 'descri... | [{'code': 'LTP', 'caption': 'Long Term', 'desc... |
250 rows × 13 columns
# get full catalog listing using pandas
WaPOR.API.version=2
catalog=WaPOR.API.getCatalog()
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)
display (catalog)
Loading WaPOR catalog... Loading WaPOR catalog...Done
code | caption | description | additionalInfo | tags | workspaceCode | dataType | index | operation | hidden | links | measure | dimension | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | L1_GBWP_A | Gross Biomass Water Productivity | The annual Gross Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the total volume of water consumed in the year (actual evapotranspiration). By relating biomass production to total evapotranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \"net water productivity\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). | {'format': 'Raster Dataset', 'unit': 'kg/m³ is the ratio of kg of dry matter per cubic meter of water transpired by vegetation in one hectare', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of gross biomass water productivity (GBWP) is as follows: GBWP = TBP/ETIa Where TBP is annual Total Biomass Production in kg/ha and ETIa is annual Actual EvapoTranspiration and Interception in m³/ha. The following data is used for calculating it: - Annual TBP - Annual ETIa'} | [{'name': 'L1', 'index': 1, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 1, 'context': 'levels'}, {'name': 'C1', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 101 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_GBWP_A/dimensions/YEAR'}]}] |
1 | L1_NBWP_A | Net Biomass Water Productivity | The annual Net Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the volume of water beneficially consumed (by canopy transpiration) in the year, and thus net of soil evaporation. Contrary to gross water productivity, net water productivity is particularly useful in monitoring how effectively vegetation (and, more importantly, crops) uses water to develop biomass (and thus yield). | {'format': 'Raster Dataset', 'unit': 'kg/m³ is the ratio of kg of dry matter per cubic meter of water transpired by vegetation in one hectare', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of Net Biomass Water Productivity (NBWP) is as follows: NBWP = TBP/Ta Where TBP is annual total biomass production in kgDM/ha and Ta is annual actual transpiration in m³/ha. Only areas with annual T of 100 mm or higher have been included in the computation. The following data is used for calculating it: - Annual TBP - Annual Ta'} | [{'name': 'L1', 'index': 2, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 2, 'context': 'levels'}, {'name': 'C1', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 102 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NBWP_A/dimensions/YEAR'}]}] |
2 | L1_AETI_A | Actual EvapoTranspiration and Interception (Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L1', 'index': 3, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 3, 'context': 'levels'}, {'name': 'C2', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 103 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_A/dimensions/YEAR'}]}] |
3 | L1_AETI_M | Actual EvapoTranspiration and Interception (Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthy total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L1', 'index': 4, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 4, 'context': 'levels'}, {'name': 'C2', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 104 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_M/dimensions/MONTH'}]}] |
4 | L1_AETI_D | Actual EvapoTranspiration and Interception (Dekadal) | The actual EvapoTranspiration and Interception (ETIa) (dekadal, in mm/day) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L1', 'index': 5, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 5, 'context': 'levels'}, {'name': 'C2', 'index': 3, 'context': 'categories'}] | WAPOR_2 | RASTER | 105 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_AETI_D/dimensions/DEKAD'}]}] |
5 | L1_T_A | Transpiration (Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L1', 'index': 6, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 6, 'context': 'levels'}, {'name': 'C2', 'index': 4, 'context': 'categories'}] | WAPOR_2 | RASTER | 106 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_A/dimensions/YEAR'}]}] |
6 | L1_E_A | Evaporation (Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L1', 'index': 7, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 7, 'context': 'levels'}, {'name': 'C2', 'index': 5, 'context': 'categories'}] | WAPOR_2 | RASTER | 107 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_A/dimensions/YEAR'}]}] |
7 | L1_I_A | Interception (Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L1', 'index': 8, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 8, 'context': 'levels'}, {'name': 'C2', 'index': 6, 'context': 'categories'}] | WAPOR_2 | RASTER | 108 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_A/dimensions/YEAR'}]}] |
8 | L1_T_D | Transpiration (Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 9, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 9, 'context': 'levels'}, {'name': 'C2', 'index': 7, 'context': 'categories'}] | WAPOR_2 | RASTER | 109 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_T_D/dimensions/DEKAD'}]}] |
9 | L1_E_D | Evaporation (Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 10, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 10, 'context': 'levels'}, {'name': 'C2', 'index': 8, 'context': 'categories'}] | WAPOR_2 | RASTER | 110 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_E_D/dimensions/DEKAD'}]}] |
10 | L1_I_D | Interception (Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 11, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 11, 'context': 'levels'}, {'name': 'C2', 'index': 9, 'context': 'categories'}] | WAPOR_2 | RASTER | 111 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_I_D/dimensions/DEKAD'}]}] |
11 | L1_NPP_D | Net Primary Production | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 12, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 12, 'context': 'levels'}, {'name': 'C3', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 112 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_NPP_D/dimensions/DEKAD'}]}] |
12 | L1_TBP_A | Total Biomass Production (Annual) | The annual Total Biomass Production expresses the total amount of dry matter produced over the year. It is calculated by dekad and summarized as annual total. Each pixel represents the annual amount of dry matter in kg per hectare. | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int32 (32bit Integer)', 'noDataValue': -9999, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Annual TBP is the sum of the TBP by dekad in the year of reference (TBP by dekad is the average daily value in a dekad multiplied by number of days in each dekad). TBP is calculated by applying a unit conversion factor to net primary production (NPP) that converts carbon grams per m² into dry matter (DM) per hectare. In the previous version of the database, a fixed shoot/root ratio of 0.65 was applied to distribute DM into below ground and above ground production. For Version 2, also based on the findings of the Quality assessment, we decided to release the total biomass (above and below ground) instead, and leave users the possibility to apply a shoot/root ratio that better suits their analysis.'} | [{'name': 'L1', 'index': 13, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 13, 'context': 'levels'}, {'name': 'C3', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 113 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A'}] | {'code': 'LPR', 'caption': 'Land Productivity', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A/measures/LPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_TBP_A/dimensions/YEAR'}]}] |
13 | L1_LCC_A | Land Cover Classification | This land cover dataset at continental scale is based on the Copernicus Global Land cover map. WaPOR data adds, on top of the Copernicus map, the distinction between irrigated and rainfed areas. It is published on a yearly basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'Land Cover Classification makes use of the dekadal reflectance time series and seasonal phenology information from the Crop Calendar. The Level 1 land cover products were derived from the Global Land Service of Copernicus, the Earth Observation programme of the European Commission. In addition, irrigated areas are identified by applying a water deficit index that takes into consideration seasonal cumulated values of precipitation and actual evapotranspiration. The global CGLS-100m land cover map for 2015 served as base layer for both Level 1 and 2, whereas the cropland class was further divided into irrigated, rainfed and fallow, on an annual basis. The classification applied is based on the Land Cover Classification System (LCCS) that was developed by FAO. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 14, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 14, 'context': 'levels'}, {'name': 'C3', 'index': 3, 'context': 'categories'}] | WAPOR_2 | RASTER | 114 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A'}] | {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A/measures/LCC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_LCC_A/dimensions/YEAR'}]}] |
14 | L1_RET_A | Reference EvapoTranspiration (Annual) | Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the total of the daily reference evapotranspiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The annual data is obtained by taking the daily RET, summing the days of each year.'} | [{'name': 'L1', 'index': 15, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 15, 'context': 'levels'}, {'name': 'C4', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 115 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_A/dimensions/YEAR'}]}] |
15 | L1_PCP_A | Precipitation (Annual) | Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the total of daily precipitation in the year expressed in mm (1mm=1l/m² or 1mm=10m³/ha). | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Precipitation (L1_PCP_E) for further information. The annual data is obtained by taking the daily PCP, summing the days of each year.'} | [{'name': 'L1', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 16, 'context': 'levels'}, {'name': 'C4', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 116 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_A/dimensions/YEAR'}]}] |
16 | L1_RET_M | Reference EvapoTranspiration (Monthly) | Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the total of the daily reference evapotranspiration for that specific month. | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The monthly data is obtained by taking the daily RET, summing the days of each month.'} | [{'name': 'L1', 'index': 17, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 17, 'context': 'levels'}, {'name': 'C4', 'index': 3, 'context': 'categories'}] | WAPOR_2 | RASTER | 117 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_M/dimensions/MONTH'}]}] |
17 | L1_PCP_M | Precipitation (Monthly) | Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the total of daily precipitation in the month expressed in mm (1mm=1l/m² or 1mm=10m³/ha). | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See daily Precipitation (L1_PCP_E) for further information. The monthly data is obtained by taking the daily PCP, summing the days of each month.'} | [{'name': 'L1', 'index': 18, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 18, 'context': 'levels'}, {'name': 'C4', 'index': 4, 'context': 'categories'}] | WAPOR_2 | RASTER | 118 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_M/dimensions/MONTH'}]}] |
18 | L1_RET_D | Reference EvapoTranspiration (Dekadal) | Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. The value of each pixel represents the average of the daily reference evapotranspiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'See daily Reference EvapoTranspiration (L1_RET_E) for further information. The dekadal average is obtained by taking the daily RET, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'} | [{'name': 'L1', 'index': 19, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 19, 'context': 'levels'}, {'name': 'C4', 'index': 5, 'context': 'categories'}] | WAPOR_2 | RASTER | 119 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_D/dimensions/DEKAD'}]}] |
19 | L1_PCP_D | Precipitation (Dekadal) | Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha). | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'See daily precipitation (L1_PCP_E) for further information. The dekadal average is obtained by taking the daily PCP, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'} | [{'name': 'L1', 'index': 20, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 20, 'context': 'levels'}, {'name': 'C4', 'index': 6, 'context': 'categories'}] | WAPOR_2 | RASTER | 120 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/dimensions/DEKAD'}]}] |
20 | L1_RET_E | Reference EvapoTranspiration (Daily) | Reference EvapoTranspiration (RET) is defined as the evapotranspiration from a hypothetical reference crop and it simulates the behaviour of a well-watered grass surface. Each pixel represents the daily reference evapotranspiration in mm. | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': 'Approximately 20km (0.17 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Daily', 'methodology': 'As for Actual EvapoTranspiration, it is derived using the Penman-Monteith equation, with the distinction that most of the variables are predefined. The following data is used to calculate RET: daily incoming solar radiation and weather data (temperature, humidity, wind speed). Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 21, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 21, 'context': 'levels'}, {'name': 'C4', 'index': 7, 'context': 'categories'}] | WAPOR_2 | RASTER | 121 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E/measures/WATER_MM'}]} | [{'code': 'DAY', 'caption': 'Day', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'DAY', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_RET_E/dimensions/DAY'}]}] |
21 | L1_PCP_E | Precipitation (Daily) | Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the daily amount of precipitation expressed in mm (1mm=1l/m² or 1mm=10m³/ha). For details see http://chg.geog.ucsb.edu/data/chirps | {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Daily', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Information on the methodology applied to produce CHIRPS data can be found at http://chg.geog.ucsb.edu/data/chirps.\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 22, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 22, 'context': 'levels'}, {'name': 'C4', 'index': 8, 'context': 'categories'}] | WAPOR_2 | RASTER | 122 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E/measures/WATER_MM'}]} | [{'code': 'DAY', 'caption': 'Day', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'DAY', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_E/dimensions/DAY'}]}] |
22 | L1_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L1', 'index': 23, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}] | WAPOR_2 | RASTER | 123 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
23 | L1_QUAL_LST_D | Quality Land Surface Temperature (Dekadal) | The quality layer gives an indication on the quality of the Land Surface Temperature (LST) input data. It shows the time between the date of the data file and the earlier remote sensing observation on which the data is based. | {'format': 'Raster Dataset', 'unit': 'day', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The LST input uses each clear observation. For each clear LST observation a separate "observation quality" is calculated which is dependent on the viewing angle. Smaller viewing angles provide a better LST observation. For each day the following procedure is followed to calculate the LST: If there is no clear LST observation, then the previous value of LST is used. The observation quality is reduced 10% each day. If there is a clear LST observation then the new LST value will be a weighted mean of the previous observation and current observation, based on their observation quality. The Quality Indicator provides the number of days since the last clear observation, regardless of its observation quality. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L1', 'index': 24, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 24, 'context': 'levels'}, {'name': 'C5', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 124 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_LST_D/dimensions/DEKAD'}]}] |
24 | L1_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '250m (0.00223 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term (2009 to date)', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L1', 'index': 24, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}] | WAPOR_2 | RASTER | 124 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_QUAL_NDVI_LT/dimensions/LTP'}]}] |
25 | L2_GBWP_S | Gross Biomass Water Productivity (Seasonal) | The seasonal Gross Biomass Water Productivity expresses the quantity of output (total biomass production) in relation to the total volume of water consumed (actual EvapoTranspiration) during the growing cycle of the vegetation. By relating biomass production to total EvapoTranspiration (sum of soil evaporation, canopy transpiration and interception), this indicator provides insights on the impact of vegetation development on consumptive water use and thus on water balance in a given domain. When the focus is on monitoring performance of irrigated agriculture in relation to water consumption, it is more appropriate to use transpiration alone as a denominator, as a measure of water beneficially consumed by the plant. This latter indicator, for which we use the term \"net water productivity\", provides useful information on how effectively vegetation (and particularly crops) uses water to develop its biomass (and thus yield). | {'format': 'Raster Dataset', 'unit': 'kg/m³', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'The calculation of gross biomass water productivity (GBWP) is as follows: GBWP = TBP/ETIa Where TBP is seasonal Total Biomass Production in kg/ha and ETIa is the Actual EvapoTranspiration and Interception in m³/ha cumulated during the course of the growing season, as defined by the phenology information. The following data is used for calculating it: - Seasonal TBP - Dekadal ETIa - Phenology (start of season and end of season) Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 1, 'context': 'LEVELS_LIST'}, {'name': 'WATER PRODUCTIVITY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 1, 'context': 'levels'}, {'name': 'C1', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 201 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_GBWP_S/dimensions/SEASON'}]}] |
26 | L2_AETI_A | Actual EvapoTranspiration and Interception (Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 3, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 3, 'context': 'levels'}, {'name': 'C2', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 203 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_A/dimensions/YEAR'}]}] |
27 | L2_AETI_M | Actual EvapoTranspiration and Interception (Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 4, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 4, 'context': 'levels'}, {'name': 'C2', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 204 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_M/dimensions/MONTH'}]}] |
28 | L2_AETI_D | Actual EvapoTranspiration and Interception (Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 5, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 5, 'context': 'levels'}, {'name': 'C2', 'index': 3, 'context': 'categories'}] | WAPOR_2 | RASTER | 205 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_AETI_D/dimensions/DEKAD'}]}] |
29 | L2_T_A | Transpiration (Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 6, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 6, 'context': 'levels'}, {'name': 'C2', 'index': 4, 'context': 'categories'}] | WAPOR_2 | RASTER | 206 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_A/dimensions/YEAR'}]}] |
30 | L2_E_A | Evaporation (Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 7, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 7, 'context': 'levels'}, {'name': 'C2', 'index': 5, 'context': 'categories'}] | WAPOR_2 | RASTER | 207 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_A/dimensions/YEAR'}]}] |
31 | L2_I_A | Interception (Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 8, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 8, 'context': 'levels'}, {'name': 'C2', 'index': 6, 'context': 'categories'}] | WAPOR_2 | RASTER | 208 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_A/dimensions/YEAR'}]}] |
32 | L2_T_D | Transpiration (Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 9, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 9, 'context': 'levels'}, {'name': 'C2', 'index': 7, 'context': 'categories'}] | WAPOR_2 | RASTER | 209 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_T_D/dimensions/DEKAD'}]}] |
33 | L2_E_D | Evaporation (Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 10, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 10, 'context': 'levels'}, {'name': 'C2', 'index': 8, 'context': 'categories'}] | WAPOR_2 | RASTER | 210 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_E_D/dimensions/DEKAD'}]}] |
34 | L2_I_D | Interception (Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'MM', 'dataType': 'Byte (8bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 11, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 11, 'context': 'levels'}, {'name': 'C2', 'index': 9, 'context': 'categories'}] | WAPOR_2 | RASTER | 211 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_I_D/dimensions/DEKAD'}]}] |
35 | L2_NPP_D | Net Primary Production | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 12, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 12, 'context': 'levels'}, {'name': 'C3', 'index': 1, 'context': 'categories'}] | WAPOR_2 | RASTER | 212 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_NPP_D/dimensions/DEKAD'}]}] |
36 | L2_TBP_S | Total Biomass Production (Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes \"out of season\". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 10', 'noDataValue': -9999, 'flags': [{'value': -9996, 'description': 'out of season'}], 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 13, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 13, 'context': 'levels'}, {'name': 'C3', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 213 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_TBP_S/dimensions/SEASON'}]}] |
37 | L2_LCC_A | Land Cover Classification | This experimental land cover dataset at continental scale (Level 2) shows a broad classification aiming at identifying cultivated land and, more specifically, distinguishing between irrigated and rainfed areas. It is published on a yearly basis, while seasonal products are available upon request. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'Land Cover Classification makes use of the dekadal reflectance time series and seasonal phenology information from the Crop Calendar. The Level 1 land cover products were derived from the Global Land Service of Copernicus, the Earth Observation programme of the European Commission. This product was generated from MODIS data, using the Copernicus training data and operational workflow, modified to account for differences in spatial resolution and the delivered land cover classes. In addition, irrigated areas are identified by applying a water deficit index that takes into consideration seasonal cumulated values of precipitation and actual evapotranspiration. The global CGLS-100m land cover map for 2015 served as base layer for both Level 1 and 2, whereas the cropland class was further divided into irrigated, rainfed and fallow, on an annual basis. The classification applied is based on the Land Cover Classification System (LCCS) that was developed by FAO. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 14, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 14, 'context': 'levels'}, {'name': 'C3', 'index': 3, 'context': 'categories'}] | WAPOR_2 | RASTER | 214 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A'}] | {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A/measures/LCC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_LCC_A/dimensions/YEAR'}]}] |
38 | L2_PHE_S | Phenology (Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'flags': [{'value': 251, 'description': 'no season detected'}], 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland). The following data is used to calculate Phenology: NDVI Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/ Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 15, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 15, 'context': 'levels'}, {'name': 'C3', 'index': 4, 'context': 'categories'}] | WAPOR_2 | RASTER | 215 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_PHE_S/dimensions/STAGE'}]}] |
39 | L2_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term (2009 to date)', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover. Until December 2019 the base input layers (NDVI, albedo, and fAPAR) for the Level 2 (100m) products were derived from the Proba-V satellite. Proba-V was decommissioned in June 2020. From January 2020 onwards the base input layers of NDVI, albedo and fAPAR for level 2 are derived from the Copernicus Sentinel-2 mission.'} | [{'name': 'L2', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}] | WAPOR_2 | RASTER | 216 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_LT/dimensions/LTP'}]}] |
40 | L2_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L2', 'index': 16, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}] | WAPOR_2 | RASTER | 216 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
41 | L2_QUAL_LST_D | Quality Land Surface Temperature (Dekadal) | The quality layer gives an indication on the quality of the Land Surface Temperature (LST) input data. It shows the time between the date of the data file and the earlier remote sensing observation on which the data is based. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte (8bit Integer)', 'noDataValue': 255, 'spatialResolution': '100m (0.000992 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The LST input uses each clear observation. For each clear LST observation a separate "observation quality" is calculated which is dependent on the viewing angle. Smaller viewing angles provide a better LST observation. For each day the following procedure is followed to calculate the LST: If there is no clear LST observation, then the previous value of LST is used. The observation quality is reduced 10% each day. If there is a clear LST observation then the new LST value will be a weighted mean of the previous observation and current observation, based on their observation quality. The Quality Indicator provides the number of days since the last clear observation, regardless of its observation quality. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L2', 'index': 17, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'L2', 'index': 17, 'context': 'levels'}, {'name': 'C5', 'index': 2, 'context': 'categories'}] | WAPOR_2 | RASTER | 217 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': False} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_QUAL_LST_D/dimensions/DEKAD'}]}] |
42 | L2_BAS_GBWP_S | Gross Biomass Water Productivity (Seasonal, clipped by basin) | This is a system dataset, used to let the download of the Gross Biomass Water Productivity raster files (L2_GBWP_S) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4011 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_GBWP_S/dimensions/BASIN'}]}] |
43 | L2_CTY_GBWP_S | Gross Biomass Water Productivity (Seasonal, clipped by country) | This is a system dataset, used to let the download of the Gross Biomass Water Productivity raster files (L2_GBWP_S) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4012 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_GBWP_S/dimensions/COUNTRY'}]}] |
44 | L2_CTY_NBWP_S | Net Biomass Water Productivity (Seasonal, clipped by country) | This is a system dataset, used to let the download of the Net Biomass Water Productivity raster files (L2_NBWP_S) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4012 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NBWP_S/dimensions/COUNTRY'}]}] |
45 | L2_BAS_NBWP_S | Net Biomass Water Productivity (Seasonal, clipped by basin) | This is a system dataset, used to let the download of the Net Biomass Water Productivity raster files (L2_NBWP_S) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4021 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S'}] | {'code': 'WPR', 'caption': 'Water Productivity', 'description': 'The Water Productivity measures the amount (mass) of output generated by a given amount (volume) of water (used, depleted, diverted... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/m³', 'scale': 3, 'multiplier': 0.001, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/measures/WPR'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NBWP_S/dimensions/BASIN'}]}] |
46 | L2_BAS_AETI_A | Actual EvapoTranspiration and Interception (Annual, clipped by basin) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_A) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4031 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_A/dimensions/BASIN'}]}] |
47 | L2_CTY_AETI_A | Actual EvapoTranspiration and Interception (Annual, clipped by country) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_A) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4032 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_A/dimensions/COUNTRY'}]}] |
48 | L2_BAS_AETI_M | Actual EvapoTranspiration and Interception (Monthly, clipped by basin) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_M) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4041 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/dimensions/MONTH'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_M/dimensions/BASIN'}]}] |
49 | L2_CTY_AETI_M | Actual EvapoTranspiration and Interception (Monthly, clipped by country) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_M) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4042 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/dimensions/MONTH'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_M/dimensions/COUNTRY'}]}] |
50 | L2_BAS_AETI_D | Actual EvapoTranspiration and Interception (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4051 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_AETI_D/dimensions/BASIN'}]}] |
51 | L2_CTY_AETI_D | Actual EvapoTranspiration and Interception (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Actual EvapoTranspiration and Interception raster files (L2_AETI_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4052 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_AETI_D/dimensions/COUNTRY'}]}] |
52 | L2_BAS_T_A | Transpiration (Annual, clipped by basin) | This is a system dataset, used to let the download of the Transpiration raster files (L2_T_A) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4061 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_A/dimensions/BASIN'}]}] |
53 | L2_CTY_T_A | Transpiration (Annual, clipped by country) | This is a system dataset, used to let the download of the Transpiration raster files (L2_T_A) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4062 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_A/dimensions/COUNTRY'}]}] |
54 | L2_BAS_E_A | Evaporation (Annual, clipped by basin) | This is a system dataset, used to let the download of the Evaporation raster files (L2_E_A) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4071 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_A/dimensions/BASIN'}]}] |
55 | L2_CTY_E_A | Evaporation (Annual, clipped by country) | This is a system dataset, used to let the download of the Evaporation raster files (L2_E_A) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4072 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_A/dimensions/COUNTRY'}]}] |
56 | L2_BAS_I_A | Interception (Annual, clipped by basin) | This is a system dataset, used to let the download of the Interception raster files (L2_I_A) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4081 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_A/dimensions/BASIN'}]}] |
57 | L2_CTY_I_A | Interception (Annual, clipped by country) | This is a system dataset, used to let the download of the Interception raster files (L2_I_A) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4082 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_A/dimensions/COUNTRY'}]}] |
58 | L2_BAS_T_D | Transpiration (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Transpiration raster files (L2_T_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4091 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_T_D/dimensions/BASIN'}]}] |
59 | L2_CTY_T_D | Transpiration (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Transpiration raster files (L2_T_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4092 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_T_D/dimensions/COUNTRY'}]}] |
60 | L2_BAS_E_D | Evaporation (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Evaporation raster files (L2_E_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4101 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_E_D/dimensions/BASIN'}]}] |
61 | L2_CTY_E_D | Evaporation (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Evaporation raster files (L2_E_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4102 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_E_D/dimensions/COUNTRY'}]}] |
62 | L2_BAS_NPP_D | Net Primary Production (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Net Primary Production raster files (L2_NPP_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4111 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_NPP_D/dimensions/BASIN'}]}] |
63 | L2_BAS_I_D | Interception (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Interception raster files (L2_I_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4111 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_I_D/dimensions/BASIN'}]}] |
64 | L2_CTY_I_D | Interception (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Interception raster files (L2_I_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4112 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_I_D/dimensions/COUNTRY'}]}] |
65 | L2_CTY_NPP_D | Net Primary Production (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Net Primary Production raster files (L2_NPP_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4112 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_NPP_D/dimensions/COUNTRY'}]}] |
66 | L2_BAS_TBP_S | Total Biomass Production (Seasonal, clipped by basin) | This is a system dataset, used to let the download of the Total Biomass Production raster files (L2_TBP_S) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4131 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/SEASON'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_TBP_S/dimensions/BASIN'}]}] |
67 | L2_CTY_PHE_S | Phenology (Seasonal, clipped by country) | This is a system dataset, used to let the download of the Phenology raster files (L2_PHE_S) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4132 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 5, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/STAGE'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_PHE_S/dimensions/COUNTRY'}]}] |
68 | L2_CTY_TBP_S | Total Biomass Production (Seasonal, clipped by country) | This is a system dataset, used to let the download of the Total Biomass Production raster files (L2_TBP_S) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4132 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/SEASON'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_TBP_S/dimensions/COUNTRY'}]}] |
69 | L2_BAS_LCC_A | Land Cover Classification (Annual, clipped by basin) | This is a system dataset, used to let the download of the Land Cover Classification raster files (L2_LCC_A) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4141 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A'}] | {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/measures/LCC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/dimensions/YEAR'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_LCC_A/dimensions/BASIN'}]}] |
70 | L2_CTY_LCC_A | Land Cover Classification (Annual, clipped by country) | This is a system dataset, used to let the download of the Land Cover Classification raster files (L2_LCC_A) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4142 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A'}] | {'code': 'LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a seasonal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'0': {'caption': 'n.a', 'description': 'Not available'}, '20': {'caption': 'Shrubland', 'description': 'Shrubland'}, '30': {'caption': 'Grassland', 'description': 'Grassland'}, '41': {'caption': 'Cropland, rainfed', 'description': 'Cropland, rainfed'}, '42': {'caption': 'Cropland, irrigated or under water management', 'description': 'Cropland, irrigated or under water management'}, '43': {'caption': 'Cropland, fallow', 'description': 'Cropland, fallow'}, '50': {'caption': 'Built-up', 'description': 'Built-up'}, '60': {'caption': 'Bare / sparse vegetation', 'description': 'Bare / sparse vegetation'}, '70': {'caption': 'Permament snow / ice', 'description': 'Permament snow / ice'}, '80': {'caption': 'Water bodies', 'description': 'Water bodies'}, '81': {'caption': 'Temporary water bodies', 'description': 'Temporary water bodies'}, '90': {'caption': 'Shrub or herbaceous cover, flooded', 'description': 'Shrub or herbaceous cover, flooded'}, '111': {'caption': 'Tree cover: closed, evergreen needle-leaved', 'description': 'Tree cover: closed, evergreen needle-leaved'}, '112': {'caption': 'Tree cover: closed, evergreen broadleaved', 'description': 'Tree cover: closed, evergreen broadleaved'}, '114': {'caption': 'Tree cover: closed, deciduous broadleaved', 'description': 'Tree cover: closed, deciduous broadleaved'}, '115': {'caption': 'Tree cover: closed, mixed type', 'description': 'Tree cover: closed, mixed type'}, '116': {'caption': 'Tree cover: closed, unknown type', 'description': 'Tree cover: closed, unknown type'}, '121': {'caption': 'Tree cover: open, evergreen needle-leaved', 'description': 'Tree cover: open, evergreen needle-leaved'}, '122': {'caption': 'Tree cover: open, evergreen broadleaved', 'description': 'Tree cover: open, evergreen broadleaved'}, '123': {'caption': 'Tree cover: open, deciduous needle-leaved', 'description': 'Tree cover: open, deciduous needle-leaved'}, '124': {'caption': 'Tree cover: open, deciduous broadleaved', 'description': 'Tree cover: open, deciduous broadleaved'}, '125': {'caption': 'Tree cover: open, mixed type', 'description': 'Tree cover: open, mixed type'}, '126': {'caption': 'Tree cover: open, unknown type', 'description': 'Tree cover: open, unknown type'}, '200': {'caption': 'Sea water', 'description': 'Open sea'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/measures/LCC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/dimensions/YEAR'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_LCC_A/dimensions/COUNTRY'}]}] |
71 | L2_BAS_PHE_S | Phenology (Seasonal, clipped by basin) | This is a system dataset, used to let the download of the Phenology raster files (L2_PHE_S) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4151 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 5, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/STAGE'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_PHE_S/dimensions/BASIN'}]}] |
72 | L2_BAS_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Quality of Normalized Difference Vegetation Index raster files (L2_QUAL_NDVI_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4161 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_NDVI_D/dimensions/BASIN'}]}] |
73 | L2_CTY_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Quality of Normalized Difference Vegetation Index raster files (L2_QUAL_NDVI_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4162 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_NDVI_D/dimensions/COUNTRY'}]}] |
74 | L2_BAS_QUAL_LST_D | Quality Land Surface Temperature (Dekadal, clipped by basin) | This is a system dataset, used to let the download of the Quality Land Surface Temperature raster files (L2_QUAL_LST_D) by selecting the basin of interest | NaN | NaN | WAPOR_2 | RASTER | 4171 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/dimensions/DEKAD'}]}, {'code': 'BASIN', 'caption': 'Basin', 'description': 'Basins of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_BAS_QUAL_LST_D/dimensions/BASIN'}]}] |
75 | L2_CTY_QUAL_LST_D | Quality Land Surface Temperature (Dekadal, clipped by country) | This is a system dataset, used to let the download of the Quality Land Surface Temperature raster files (L2_QUAL_LST_D) by selecting the country of interest | NaN | NaN | WAPOR_2 | RASTER | 4172 | {'pixelTimeSeries': False, 'areaStatsTimeSeries': False} | True | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D'}] | {'code': 'N_DAYS', 'caption': 'Number of Days', 'description': 'number of days', 'workspaceCode': 'WAPOR_2', 'unit': 'd', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/measures/N_DAYS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/dimensions/DEKAD'}]}, {'code': 'COUNTRY', 'caption': 'Country', 'description': 'Countries of interest related to the Level 2 (L2, 100m) raster files', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L2_CTY_QUAL_LST_D/dimensions/COUNTRY'}]}] |
76 | L3_AWA_AETI_A | Actual EvapoTranspiration and Interception (Awash, Ethiopia - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 25, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30025 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_A/dimensions/YEAR'}]}] |
77 | L3_BKA_AETI_A | Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 26, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30026 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_A/dimensions/YEAR'}]}] |
78 | L3_BUS_AETI_A | Actual EvapoTranspiration and Interception (Busia, Kenya - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 27, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30027 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_A/dimensions/YEAR'}]}] |
79 | L3_GEZ_AETI_A | Actual EvapoTranspiration and Interception (Gezira, Sudan - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 28, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30028 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_A/dimensions/YEAR'}]}] |
80 | L3_KOG_AETI_A | Actual EvapoTranspiration and Interception (Koga, Ethiopia - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 29, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30029 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_A/dimensions/YEAR'}]}] |
81 | L3_LAM_AETI_A | Actual EvapoTranspiration and Interception (Lamego, Mozambique - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 30, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30030 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_A/dimensions/YEAR'}]}] |
82 | L3_MAL_AETI_A | Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 31, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30031 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_A/dimensions/YEAR'}]}] |
83 | L3_MUV_AETI_A | Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 32, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30032 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_A/dimensions/YEAR'}]}] |
84 | L3_ODN_AETI_A | Actual EvapoTranspiration and Interception (Office du Niger, Mali - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 33, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30033 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_A/dimensions/YEAR'}]}] |
85 | L3_SED_AETI_A | Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 34, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 10, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30034 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_A/dimensions/YEAR'}]}] |
86 | L3_YAN_AETI_A | Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 35, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 11, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30035 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_A/dimensions/YEAR'}]}] |
87 | L3_ZAN_AETI_A | Actual EvapoTranspiration and Interception (Zankalon, Egypt - Annual) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The annual total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 36, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30036 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_A/dimensions/YEAR'}]}] |
88 | L3_AWA_AETI_M | Actual EvapoTranspiration and Interception (Awash, Ethiopia - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 37, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30037 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_M/dimensions/MONTH'}]}] |
89 | L3_BKA_AETI_M | Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 38, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30038 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_M/dimensions/MONTH'}]}] |
90 | L3_BUS_AETI_M | Actual EvapoTranspiration and Interception (Busia, Kenya - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 39, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30039 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_M/dimensions/MONTH'}]}] |
91 | L3_GEZ_AETI_M | Actual EvapoTranspiration and Interception (Gezira, Sudan - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 40, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30040 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_M/dimensions/MONTH'}]}] |
92 | L3_KOG_AETI_M | Actual EvapoTranspiration and Interception (Koga, Ethiopia - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 41, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30041 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_M/dimensions/MONTH'}]}] |
93 | L3_LAM_AETI_M | Actual EvapoTranspiration and Interception (Lamego, Mozambique - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 42, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30042 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_M/dimensions/MONTH'}]}] |
94 | L3_MAL_AETI_M | Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 43, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30043 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_M/dimensions/MONTH'}]}] |
95 | L3_MUV_AETI_M | Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 44, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30044 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_M/dimensions/MONTH'}]}] |
96 | L3_ODN_AETI_M | Actual EvapoTranspiration and Interception (Office du Niger, Mali - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 45, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30045 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_M/dimensions/MONTH'}]}] |
97 | L3_SED_AETI_M | Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 46, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30046 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_M/dimensions/MONTH'}]}] |
98 | L3_YAN_AETI_M | Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 47, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30047 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_M/dimensions/MONTH'}]}] |
99 | L3_ZAN_AETI_M | Actual EvapoTranspiration and Interception (Zankalon, Egypt - Monthly) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the ETIa in a given month. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Monthly', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See ETIa by dekad for further information. The monthly total is obtained by taking the ETIa in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each month.'} | [{'name': 'L3', 'index': 48, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30048 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M/measures/WATER_MM'}]} | [{'code': 'MONTH', 'caption': 'Month', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'MONTH', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_M/dimensions/MONTH'}]}] |
100 | L3_AWA_AETI_D | Actual EvapoTranspiration and Interception (Awash, Ethiopia - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 49, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 25, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30049 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_AETI_D/dimensions/DEKAD'}]}] |
101 | L3_BKA_AETI_D | Actual EvapoTranspiration and Interception (Bekaa, Lebanon - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 50, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 26, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30050 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_AETI_D/dimensions/DEKAD'}]}] |
102 | L3_BUS_AETI_D | Actual EvapoTranspiration and Interception (Busia, Kenya - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 51, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 27, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30051 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_AETI_D/dimensions/DEKAD'}]}] |
103 | L3_GEZ_AETI_D | Actual EvapoTranspiration and Interception (Gezira, Sudan - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 52, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 28, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30052 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_AETI_D/dimensions/DEKAD'}]}] |
104 | L3_KOG_AETI_D | Actual EvapoTranspiration and Interception (Koga, Ethiopia - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 53, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 29, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30053 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_AETI_D/dimensions/DEKAD'}]}] |
105 | L3_LAM_AETI_D | Actual EvapoTranspiration and Interception (Lamego, Mozambique - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 54, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 30, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30054 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_AETI_D/dimensions/DEKAD'}]}] |
106 | L3_MAL_AETI_D | Actual EvapoTranspiration and Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 55, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 31, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30055 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_AETI_D/dimensions/DEKAD'}]}] |
107 | L3_MUV_AETI_D | Actual EvapoTranspiration and Interception (Muvumba catchment, Rwanda - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 56, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 32, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30056 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_AETI_D/dimensions/DEKAD'}]}] |
108 | L3_ODN_AETI_D | Actual EvapoTranspiration and Interception (Office du Niger, Mali - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 57, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 33, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30057 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_AETI_D/dimensions/DEKAD'}]}] |
109 | L3_SED_AETI_D | Actual EvapoTranspiration and Interception (Senegal Delta, Senegal - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 58, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 34, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30058 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_AETI_D/dimensions/DEKAD'}]}] |
110 | L3_YAN_AETI_D | Actual EvapoTranspiration and Interception (Yanze catchment, Rwanda - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 59, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 35, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30059 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_AETI_D/dimensions/DEKAD'}]}] |
111 | L3_ZAN_AETI_D | Actual EvapoTranspiration and Interception (Zankalon, Egypt - Dekadal) | The actual EvapoTranspiration and Interception (ETIa) is the sum of the soil evaporation (E), canopy transpiration (T), and evaporation from rainfall intercepted by leaves (I). The value of each pixel represents the average daily ETIa in a given dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the ETIa is based on the ETLook model described in Bastiaanssen et al. (2012). See the methodology of the three components (E, T and I) for further information.'} | [{'name': 'L3', 'index': 60, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 36, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30060 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_AETI_D/dimensions/DEKAD'}]}] |
112 | L3_AWA_T_A | Transpiration (Awash, Ethiopia - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 61, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30061 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_A/dimensions/YEAR'}]}] |
113 | L3_BKA_T_A | Transpiration (Bekaa, Lebanon - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 62, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30062 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_A/dimensions/YEAR'}]}] |
114 | L3_BUS_T_A | Transpiration (Busia, Kenya - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 63, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30063 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_A/dimensions/YEAR'}]}] |
115 | L3_GEZ_T_A | Transpiration (Gezira, Sudan - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 64, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30064 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_A/dimensions/YEAR'}]}] |
116 | L3_KOG_T_A | Transpiration (Koga, Ethiopia - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 65, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30065 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_A/dimensions/YEAR'}]}] |
117 | L3_LAM_T_A | Transpiration (Lamego, Mozambique - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 66, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30066 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_A/dimensions/YEAR'}]}] |
118 | L3_MAL_T_A | Transpiration (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 67, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 43, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30067 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_A/dimensions/YEAR'}]}] |
119 | L3_MUV_T_A | Transpiration (Muvumba catchment, Rwanda - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 68, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 44, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30068 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_A/dimensions/YEAR'}]}] |
120 | L3_ODN_T_A | Transpiration (Office du Niger, Mali - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 69, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30069 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_A/dimensions/YEAR'}]}] |
121 | L3_SED_T_A | Transpiration (Senegal Delta, Senegal - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 70, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 46, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30070 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_A/dimensions/YEAR'}]}] |
122 | L3_YAN_T_A | Transpiration (Yanze catchment, Rwanda - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 71, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 47, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30071 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_A/dimensions/YEAR'}]}] |
123 | L3_ZAN_T_A | Transpiration (Zankalon, Egypt - Annual) | The Transpiration (T) data component is the actual transpiration of the vegetation canopy. The value of each pixel represents the total annual transpiration for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See transpiration (T) by dekad for further information. The annual total is obtained by taking the T in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 72, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30072 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_A/dimensions/YEAR'}]}] |
124 | L3_AWA_E_A | Evaporation (Awash, Ethiopia - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 73, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 49, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30073 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_A/dimensions/YEAR'}]}] |
125 | L3_BKA_E_A | Evaporation (Bekaa, Lebanon - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 74, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 50, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30074 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_A/dimensions/YEAR'}]}] |
126 | L3_BUS_E_A | Evaporation (Busia, Kenya - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 75, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 51, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30075 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_A/dimensions/YEAR'}]}] |
127 | L3_GEZ_E_A | Evaporation (Gezira, Sudan - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 76, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 52, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30076 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_A/dimensions/YEAR'}]}] |
128 | L3_KOG_E_A | Evaporation (Koga, Ethiopia - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 77, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 53, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30077 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_A/dimensions/YEAR'}]}] |
129 | L3_LAM_E_A | Evaporation (Lamego, Mozambique - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 78, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 54, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30078 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_A/dimensions/YEAR'}]}] |
130 | L3_MAL_E_A | Evaporation (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 79, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 55, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30079 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_A/dimensions/YEAR'}]}] |
131 | L3_MUV_E_A | Evaporation (Muvumba catchment, Rwanda - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 80, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 56, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30080 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_A/dimensions/YEAR'}]}] |
132 | L3_ODN_E_A | Evaporation (Office du Niger, Mali - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 81, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 57, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30081 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_A/dimensions/YEAR'}]}] |
133 | L3_SED_E_A | Evaporation (Senegal Delta, Senegal - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 82, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 58, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30082 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_A/dimensions/YEAR'}]}] |
134 | L3_YAN_E_A | Evaporation (Yanze catchment, Rwanda - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 83, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 59, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30083 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_A/dimensions/YEAR'}]}] |
135 | L3_ZAN_E_A | Evaporation (Zankalon, Egypt - Annual) | The Evaporation (E) data component is the actual evaporation of the soil surface. The value of each pixel represents the total annual evaporation for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See evaporation (E) by dekad for further information. The annual total is obtained by taking the E in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 84, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 60, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30084 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_A/dimensions/YEAR'}]}] |
136 | L3_AWA_I_A | Interception (Awash, Ethiopia - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 85, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 61, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30085 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_A/dimensions/YEAR'}]}] |
137 | L3_BKA_I_A | Interception (Bekaa, Lebanon - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 86, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 62, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30086 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_A/dimensions/YEAR'}]}] |
138 | L3_BUS_I_A | Interception (Busia, Kenya - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 87, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 63, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30087 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_A/dimensions/YEAR'}]}] |
139 | L3_GEZ_I_A | Interception (Gezira, Sudan - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 88, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 64, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30088 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_A/dimensions/YEAR'}]}] |
140 | L3_KOG_I_A | Interception (Koga, Ethiopia - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 89, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 65, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30089 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_A/dimensions/YEAR'}]}] |
141 | L3_LAM_I_A | Interception (Lamego, Mozambique - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 90, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 66, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30090 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_A/dimensions/YEAR'}]}] |
142 | L3_MAL_I_A | Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 91, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 67, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30091 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_A/dimensions/YEAR'}]}] |
143 | L3_MUV_I_A | Interception (Muvumba catchment, Rwanda - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 92, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 68, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30092 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_A/dimensions/YEAR'}]}] |
144 | L3_ODN_I_A | Interception (Office du Niger, Mali - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 93, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 69, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30093 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_A/dimensions/YEAR'}]}] |
145 | L3_SED_I_A | Interception (Senegal Delta, Senegal - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 94, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 70, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30094 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_A/dimensions/YEAR'}]}] |
146 | L3_YAN_I_A | Interception (Yanze catchment, Rwanda - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 95, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 71, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30095 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_A/dimensions/YEAR'}]}] |
147 | L3_ZAN_I_A | Interception (Zankalon, Egypt - Annual) | Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The Interception (I) data component represents the evaporation of intercepted rainfall from the vegetation canopy. The value of each pixel represents the total annual interception for that specific year. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Int32 (32bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Annual', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'See interception (I) by dekad for further information. The annual total is obtained by taking the I in mm/day, multiplying by the number of days in a dekad, and summing the dekads of each year.'} | [{'name': 'L3', 'index': 96, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 72, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30096 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A/measures/WATER_MM'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_A/dimensions/YEAR'}]}] |
148 | L3_AWA_T_D | Transpiration (Awash, Ethiopia - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 97, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 73, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30097 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_T_D/dimensions/DEKAD'}]}] |
149 | L3_BKA_T_D | Transpiration (Bekaa, Lebanon - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 98, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 74, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30098 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_T_D/dimensions/DEKAD'}]}] |
150 | L3_BUS_T_D | Transpiration (Busia, Kenya - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 99, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 75, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30099 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_T_D/dimensions/DEKAD'}]}] |
151 | L3_GEZ_T_D | Transpiration (Gezira, Sudan - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 100, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 76, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30100 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_T_D/dimensions/DEKAD'}]}] |
152 | L3_KOG_T_D | Transpiration (Koga, Ethiopia - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 101, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 77, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30101 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_T_D/dimensions/DEKAD'}]}] |
153 | L3_LAM_T_D | Transpiration (Lamego, Mozambique - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 102, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 78, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30102 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_T_D/dimensions/DEKAD'}]}] |
154 | L3_MAL_T_D | Transpiration (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 103, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 79, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30103 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_T_D/dimensions/DEKAD'}]}] |
155 | L3_MUV_T_D | Transpiration (Muvumba catchment, Rwanda - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 104, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 80, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30104 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_T_D/dimensions/DEKAD'}]}] |
156 | L3_ODN_T_D | Transpiration (Office du Niger, Mali - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 105, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 81, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30105 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_T_D/dimensions/DEKAD'}]}] |
157 | L3_SED_T_D | Transpiration (Senegal Delta, Senegal - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 106, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 82, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30106 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_T_D/dimensions/DEKAD'}]}] |
158 | L3_YAN_T_D | Transpiration (Yanze catchment, Rwanda - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 107, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 83, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30107 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_T_D/dimensions/DEKAD'}]}] |
159 | L3_ZAN_T_D | Transpiration (Zankalon, Egypt - Dekadal) | The transpiration (T) data component (dekadal, in mm/day) is the actual transpiration of the vegetation canopy. The value of each pixel represents the average daily actual transpiration for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the transpiration is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating transpiration: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 108, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 84, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30108 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_T_D/dimensions/DEKAD'}]}] |
160 | L3_AWA_E_D | Evaporation (Awash, Ethiopia - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 109, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 85, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30109 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_E_D/dimensions/DEKAD'}]}] |
161 | L3_BKA_E_D | Evaporation (Bekaa, Lebanon - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 110, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 86, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30110 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_E_D/dimensions/DEKAD'}]}] |
162 | L3_BUS_E_D | Evaporation (Busia, Kenya - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 111, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 87, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30111 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_E_D/dimensions/DEKAD'}]}] |
163 | L3_GEZ_E_D | Evaporation (Gezira, Sudan - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 112, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 88, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30112 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_E_D/dimensions/DEKAD'}]}] |
164 | L3_KOG_E_D | Evaporation (Koga, Ethiopia - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 113, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 89, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30113 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_E_D/dimensions/DEKAD'}]}] |
165 | L3_LAM_E_D | Evaporation (Lamego, Mozambique - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 114, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 90, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30114 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_E_D/dimensions/DEKAD'}]}] |
166 | L3_MAL_E_D | Evaporation (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 115, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 91, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30115 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_E_D/dimensions/DEKAD'}]}] |
167 | L3_MUV_E_D | Evaporation (Muvumba catchment, Rwanda - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 116, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 92, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30116 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_E_D/dimensions/DEKAD'}]}] |
168 | L3_ODN_E_D | Evaporation (Office du Niger, Mali - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 117, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 93, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30117 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_E_D/dimensions/DEKAD'}]}] |
169 | L3_SED_E_D | Evaporation (Senegal Delta, Senegal - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 118, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 94, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30118 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_E_D/dimensions/DEKAD'}]}] |
170 | L3_YAN_E_D | Evaporation (Yanze catchment, Rwanda - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 119, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 95, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30119 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_E_D/dimensions/DEKAD'}]}] |
171 | L3_ZAN_E_D | Evaporation (Zankalon, Egypt - Dekadal) | The Evaporation (E) data component (dekadal, in mm/day) is the actual evaporation of the soil surface. The value of each pixel represents the average daily actual evaporation for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The calculation of the evaporation is based on the ETLook model described in Bastiaanssen et al. (2012). It uses the Penman-Monteith equation, adapted to remote sensing input data. The Penman-Monteith equation predicts the rate of total evaporation and transpiration using commonly measured meteorological data (solar radiation, air temperature, vapour content and wind speed). It has become the FAO standard for calculating the actual and reference evapotranspiration (see FAO Irrigation and Drainage paper 56, Allen et al. 1998). The following data is used for calculating evaporation: - Daily: incoming solar radiation and weather data (temperature, humidity, wind speed and precipitation); - Dekadal: NDVI, surface albedo and soil moisture stress; - Seasonal: Land Cover; - Static: Digital Elevation Model. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 120, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 96, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30120 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_E_D/dimensions/DEKAD'}]}] |
172 | L3_AWA_I_D | Interception (Awash, Ethiopia - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 121, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 97, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30121 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_I_D/dimensions/DEKAD'}]}] |
173 | L3_BKA_I_D | Interception (Bekaa, Lebanon - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 122, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 98, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30122 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_I_D/dimensions/DEKAD'}]}] |
174 | L3_BUS_I_D | Interception (Busia, Kenya - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 123, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 99, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30123 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_I_D/dimensions/DEKAD'}]}] |
175 | L3_GEZ_I_D | Interception (Gezira, Sudan - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 124, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 100, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30124 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_I_D/dimensions/DEKAD'}]}] |
176 | L3_KOG_I_D | Interception (Koga, Ethiopia - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 125, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 101, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30125 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_I_D/dimensions/DEKAD'}]}] |
177 | L3_LAM_I_D | Interception (Lamego, Mozambique - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 126, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 102, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30126 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_I_D/dimensions/DEKAD'}]}] |
178 | L3_MAL_I_D | Interception (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 127, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 103, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30127 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_I_D/dimensions/DEKAD'}]}] |
179 | L3_MUV_I_D | Interception (Muvumba catchment, Rwanda - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 128, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 104, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30128 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_I_D/dimensions/DEKAD'}]}] |
180 | L3_ODN_I_D | Interception (Office du Niger, Mali - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 129, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 105, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30129 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_I_D/dimensions/DEKAD'}]}] |
181 | L3_SED_I_D | Interception (Senegal Delta, Senegal - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 130, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 106, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30130 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_I_D/dimensions/DEKAD'}]}] |
182 | L3_YAN_I_D | Interception (Yanze catchment, Rwanda - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 131, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 107, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30131 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_I_D/dimensions/DEKAD'}]}] |
183 | L3_ZAN_I_D | Interception (Zankalon, Egypt - Dekadal) | The Interception (I) data component (dekadal, in mm/day) represents the evaporation of intercepted rainfall from the vegetation canopy. Interception is the process where rainfall is captured by the leaves. Part of this captured rainfall will evaporate again. The value of each pixel represents the average daily evaporated interception for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'mm', 'dataType': 'Byte (8bit Unsigned Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'Evaporation of intercepted rainfall requires energy that is not available for transpiration or evaporation. Interception is a function of the vegetation cover and precipitation. Interception is relatively high with a small amount of precipitation, with the fraction intercepted decreasing quickly as precipitation increases. The maximum interception is determined by the LAI. The following data is used for calculating interception: - Daily: incoming solar radiation and weather data (temperature, humidity and precipitation); - Dekadal: NDVI. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 132, 'context': 'LEVELS_LIST'}, {'name': 'WATER', 'index': 108, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30132 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D'}] | {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D/measures/WATER_MM'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_I_D/dimensions/DEKAD'}]}] |
184 | L3_AWA_NPP_D | Net Primary Production (Awash, Ethiopia - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 133, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30133 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_NPP_D/dimensions/DEKAD'}]}] |
185 | L3_BKA_NPP_D | Net Primary Production (Bekaa, Lebanon - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 134, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30134 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_NPP_D/dimensions/DEKAD'}]}] |
186 | L3_BUS_NPP_D | Net Primary Production (Busia, Kenya - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 135, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 3, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30135 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_NPP_D/dimensions/DEKAD'}]}] |
187 | L3_GEZ_NPP_D | Net Primary Production (Gezira, Sudan - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 136, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 4, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30136 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_NPP_D/dimensions/DEKAD'}]}] |
188 | L3_KOG_NPP_D | Net Primary Production (Koga, Ethiopia - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 137, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30137 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_NPP_D/dimensions/DEKAD'}]}] |
189 | L3_LAM_NPP_D | Net Primary Production (Lamego, Mozambique - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 138, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30138 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_NPP_D/dimensions/DEKAD'}]}] |
190 | L3_MAL_NPP_D | Net Primary Production (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 139, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 7, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30139 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_NPP_D/dimensions/DEKAD'}]}] |
191 | L3_MUV_NPP_D | Net Primary Production (Muvumba catchment, Rwanda - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 140, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 8, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30140 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_NPP_D/dimensions/DEKAD'}]}] |
192 | L3_ODN_NPP_D | Net Primary Production (Office du Niger, Mali - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 141, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30141 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_NPP_D/dimensions/DEKAD'}]}] |
193 | L3_SED_NPP_D | Net Primary Production (Senegal Delta, Senegal - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 142, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 10, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30142 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_NPP_D/dimensions/DEKAD'}]}] |
194 | L3_YAN_NPP_D | Net Primary Production (Yanze catchment, Rwanda - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'g/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 143, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 11, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30143 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_NPP_D/dimensions/DEKAD'}]}] |
195 | L3_ZAN_NPP_D | Net Primary Production (Zankalon, Egypt - Dekadal) | Net Primary Production (NPP) is a fundamental characteristic of an ecosystem, expressing the conversion of carbon dioxide into biomass driven by photosynthesis. The pixel value represents the mean daily NPP for that specific dekad. | {'format': 'Raster Dataset', 'unit': 'gC/m²', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.001', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'The core of the methodology for deriving NPP is detailed in Veroustraete et al. (2002), whilst the practical implementation, as developed for the MARS Crop Yield Forecasting System, is described in Eerens et al. (2004). These methodologies were improved within the framework of the Copernicus Global Land Component, the most important change being the incorporation of biome-specific light-use efficiencies (LUEs). The FRAME project applies this updated methodology, adding improvements which include the addition of a reduction factor to account for reduced water availability (i.e. soil moisture stress). The following data is used to calculate NPP: - Daily:incoming solar radiation and temperature data (Tmin/Tmax); - Dekadal:fAPAR and soil moisture stress; - Seasonal:Land Cover.'} | [{'name': 'L3', 'index': 144, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30144 | {'pixelTimeSeries': True, 'areaStatsTimeSeries': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D'}] | {'code': 'NPP', 'caption': 'Net Primary Production', 'description': 'The Net Primary Production measures the amount (mass) of carbon dioxide converted into biomass driven by photosynthesis, given an amount (area) of land.', 'workspaceCode': 'WAPOR_2', 'unit': 'gC/m²', 'scale': 3, 'multiplier': 0.001, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D/measures/NPP'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_NPP_D/dimensions/DEKAD'}]}] |
196 | L3_AWA_TBP_S | Total Biomass Production (Awash, Ethiopia - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 145, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30145 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_TBP_S/dimensions/SEASON'}]}] |
197 | L3_BKA_TBP_S | Total Biomass Production (Bekaa, Lebanon - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 146, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30146 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_TBP_S/dimensions/SEASON'}]}] |
198 | L3_BUS_TBP_S | Total Biomass Production (Busia, Kenya - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 147, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30147 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_TBP_S/dimensions/SEASON'}]}] |
199 | L3_GEZ_TBP_S | Total Biomass Production (Gezira, Sudan - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 148, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30148 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_TBP_S/dimensions/SEASON'}]}] |
200 | L3_KOG_TBP_S | Total Biomass Production (Koga, Ethiopia - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 149, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30149 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_TBP_S/dimensions/SEASON'}]}] |
201 | L3_LAM_TBP_S | Total Biomass Production (Lamego, Mozambique - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 150, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30150 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_TBP_S/dimensions/SEASON'}]}] |
202 | L3_MAL_TBP_S | Total Biomass Production (Malwathu Oya West Sub Catchment, Sri Lanka - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 151, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30151 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_TBP_S/dimensions/SEASON'}]}] |
203 | L3_MUV_TBP_S | Total Biomass Production (Muvumba catchment, Rwanda - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 152, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30152 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_TBP_S/dimensions/SEASON'}]}] |
204 | L3_ODN_TBP_S | Total Biomass Production (Office du Niger, Mali - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 153, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30153 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_TBP_S/dimensions/SEASON'}]}] |
205 | L3_SED_TBP_S | Total Biomass Production (Senegal Delta, Senegal - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 154, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30154 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_TBP_S/dimensions/SEASON'}]}] |
206 | L3_YAN_TBP_S | Total Biomass Production (Yanze catchment, Rwanda - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 155, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30155 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_TBP_S/dimensions/SEASON'}]}] |
207 | L3_ZAN_TBP_S | Total Biomass Production (Zankalon, Egypt - Seasonal) | Total Biomass Production (TBP) is defined as the sum of the above-ground dry matter produced during the course of the growing season. The seasonal value represents the total accumulated biomass during one growing season, from start of season (SOS) to end of season (EOS). A pixel value of -9997 denotes "out of season". | {'format': 'Raster Dataset', 'unit': 'kg/ha', 'dataType': 'Int16', 'noDataValue': -9999, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'methodology': 'To derive the accumulation in biomass production over or during a growing season, first the start and the end of the growing season need to be identified using the phenology data component. TBP is then calculated as the sum of NPP, converted into dry matter productivity (DMP) units (kg/ha), between the start of the season (SOS) and the end of the season (EOS). At the end of the season, when the crops for the area can be assessed, the dekadal and seasonal TBP values are adjusted using an additional root-shoot correction factor data layer that allows the user to correct the TBP using the land cover specific root-shoot values. A limitation for the derivation of TBP is the dependency on phenological information, meaning that TBP can only be derived for areas where seasonality is detected. For ecosystems, such as tropical forests or deserts, that experience almost no seasonality, the start of season is theoretically set at January 1st and end of season is set at December 31st. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 156, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30156 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S'}] | {'code': 'LPR_S', 'caption': 'Land Productivity (Seasonal)', 'description': 'The Land Productivity measures the amount (mass) of output generated by a given amount (area) of land (used, harvested, burned... and so on.)', 'workspaceCode': 'WAPOR_2', 'unit': 'kg/ha', 'scale': 0, 'multiplier': 10.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/measures/LPR_S'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_TBP_S/dimensions/SEASON'}]}] |
208 | L3_AWA_LCC_D | Land Cover Classification (Awash, Ethiopia - Dekadal) | This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 157, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 25, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30157 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D'}] | {'code': 'L3_AWA_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '22': {'caption': 'Sugarcane', 'description': 'Land cultivated with sugarcane under rainfed conditions'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '122': {'caption': 'Irrigated sugar cane', 'description': 'Land cultivated with sugar cane under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D/measures/L3_AWA_LCC'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_LCC_D/dimensions/DEKAD'}]}] |
209 | L3_BKA_LCC_D | Land Cover Classification (Bekaa, Lebanon - Dekadal) | This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 158, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 26, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30158 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D'}] | {'code': 'L3_BKA_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (dense) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '5': {'caption': 'Bare', 'description': 'Areas without vegetation, including bare rock and bare soil. '}, '7': {'caption': 'Artificial', 'description': 'Land that has an artificial cover as a result of human activities'}, '8': {'caption': 'Wheat', 'description': 'Land cultivated with wheat under rainfed conditions'}, '9': {'caption': 'Maize', 'description': 'Land cultivated with maize under rainfed conditions'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '13': {'caption': 'Orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '15': {'caption': 'Grapes', 'description': 'Land cultivated with grapes under rainfed conditions'}, '16': {'caption': 'Orchard (sparse)', 'description': 'Tree cover with canopy cover < 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '17': {'caption': 'Wetland', 'description': 'Land with a permanent mixture of water and natural vegetation'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '50': {'caption': 'Other perennial', 'description': 'Unidentified woody perennial vegetation, such as hedges and tree lines as well as unidentified perennial herbaceous vegetation such as field boundaries and vegetation along irrigation canals, and close to water bodies, under rainfed conditions'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '115': {'caption': 'Irrigated grapes', 'description': 'Land cultivated with grapes under irrigated conditions'}, '116': {'caption': 'Irrigated orchard (sparse)', 'description': 'Tree cover with canopy cover < 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '150': {'caption': 'Irrigated other perennials', 'description': 'Unidentified woody perennial vegetation, such as hedges and tree lines as well as unidentified perennial herbaceous vegetation such as field boundaries and vegetation along irrigation canals, and close to water bodies, under irrigated conditions'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D/measures/L3_BKA_LCC'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_LCC_D/dimensions/DEKAD'}]}] |
210 | L3_KOG_LCC_D | Land Cover Classification (Koga, Ethiopia - Dekadal) | This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 161, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 29, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30161 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D'}] | {'code': 'L3_KOG_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '2': {'caption': 'Tree cover (open) ', 'description': 'Tree cover with a canopy cover 15%-70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '8': {'caption': 'Wheat', 'description': 'Land cultivated with wheat under rainfed conditions'}, '9': {'caption': 'Maize', 'description': 'Land cultivated with maize under rainfed conditions'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '11': {'caption': 'Vegetables', 'description': 'Land cultivated with vegetables under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '21': {'caption': 'Mixed crops', 'description': 'Land cultivated with seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under rainfed conditions'}, '23': {'caption': 'Teff', 'description': 'Land cultivated with teff under rainfed conditions.'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '111': {'caption': 'Irrigated vegetables', 'description': 'Land cultivated with vegetables under irrigated conditions'}, '121': {'caption': 'Irrigated mixed crops', 'description': 'Seasonal crops that have not been identified, and/or seasonal crops that represent less than 10% of the area, under irrigated conditions'}, '123': {'caption': 'Irrigated teff', 'description': 'Land cultivated with teff under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D/measures/L3_KOG_LCC'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_LCC_D/dimensions/DEKAD'}]}] |
211 | L3_ODN_LCC_D | Land Cover Classification (Office du Niger, Mali - Dekadal) | This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 165, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 33, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30165 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D'}] | {'code': 'L3_ODN_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'1': {'caption': 'Tree cover (closed) ', 'description': 'Tree cover with a canopy cover >70% and height exceeding 5m.'}, '4': {'caption': 'Grassland', 'description': 'Mainly grass cover with woody vegetation, canopy cover <15%'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '18': {'caption': 'Shrubland', 'description': 'Woody perennial plants with height lower than 5 m.'}, '19': {'caption': 'Water', 'description': 'Water body'}, '30': {'caption': 'Non vegetation (reclass)', 'description': 'Areas without vegetation, including combination of bare soil and urban.'}, '120': {'caption': 'Irrigated rice', 'description': 'Land cultivated with rice under irrigated conditions'}, '122': {'caption': 'Irrigated sugar cane', 'description': 'Land cultivated with sugar cane under irrigated conditions.'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D/measures/L3_ODN_LCC'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_LCC_D/dimensions/DEKAD'}]}] |
212 | L3_ZAN_LCC_D | Land Cover Classification (Zankalon, Egypt - Dekadal) | This land cover dataset at sub-national scale (Level 3) shows a detailed classification with information on the the crops representing at least 10% of the area. It is published on a dekadal basis. | {'format': 'Raster Dataset', 'unit': 'class', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'A supervised classification methodology is applied to assign a specific class to each pixel of the image. Training data consist of seasonal and long term metrics derived from dekadal NDVI time series, phenology and spectral reflectance data combined with reference data denoting the exact location of each of the classes specified in the table below. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/'} | [{'name': 'L3', 'index': 168, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 36, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30168 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D'}] | {'code': 'L3_ZAN_LCC', 'caption': 'Land Cover Classification', 'description': 'The land cover dataset shows the land cover classes as defined in the table 1 below. The classes distinguish between cropland and non-cropland, and more specific irrigated and rain fed areas. It is delivered on a dekadal basis.', 'workspaceCode': 'WAPOR_2', 'unit': 'class', 'scale': 0, 'multiplier': 1.0, 'classes': {'5': {'caption': 'Bare', 'description': 'Areas without vegetation, including bare rock and bare soil. '}, '7': {'caption': 'Artificial', 'description': 'Land that has an artificial cover as a result of human activities'}, '10': {'caption': 'Potato', 'description': 'Land cultivated with potatoes under rainfed conditions'}, '12': {'caption': 'Fallow', 'description': 'Land temporarily fallow'}, '13': {'caption': 'Orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under rainfed conditions'}, '15': {'caption': 'Grapes', 'description': 'Land cultivated with grapes under rainfed conditions'}, '19': {'caption': 'Water', 'description': 'Water body'}, '108': {'caption': 'Irrigated wheat', 'description': 'Land cultivated with wheat under irrigated conditions'}, '109': {'caption': 'Irrigated maize', 'description': 'Land cultivated with maize under irrigated conditions'}, '110': {'caption': 'Irrigated potatoes', 'description': 'Land cultivated with potatoes under irrigated conditions'}, '113': {'caption': 'Irrigated orchard (dense)', 'description': 'Tree cover with canopy cover > 70% predominantly composed of trees for production of fruits, nuts or olives under irrigated conditions'}, '115': {'caption': 'Irrigated grapes', 'description': 'Land cultivated with grapes under irrigated conditions'}, '120': {'caption': 'Irrigated rice', 'description': 'Land cultivated with rice under irrigated conditions'}, '124': {'caption': 'Irrigated cotton', 'description': 'Land cultivated with cotton under irrigated conditions'}, '125': {'caption': 'Irrigated clover', 'description': 'Land cultivated with clover under irrigated conditions'}, '126': {'caption': 'Irrigated onions', 'description': 'Land cultivated with onions under irrigated conditions'}, '127': {'caption': 'Irrigated carrots', 'description': 'Land cultivated with carrots under irrigated conditions'}, '128': {'caption': 'Irrigated eggplants', 'description': 'Land cultivated with eggplants under irrigated conditions'}, '129': {'caption': 'Irrigated flax', 'description': 'Land cultivated with flax under irrigated conditions'}, '131': {'caption': 'Irrigated sugar beet', 'description': 'Land cultivated with sugar beet under irrigated conditions'}, '255': {'caption': 'no data', 'description': 'no data'}}, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D/measures/L3_ZAN_LCC'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_LCC_D/dimensions/DEKAD'}]}] |
213 | L3_AWA_PHE_S | Phenology (Awash, Ethiopia - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 169, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30169 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_PHE_S/dimensions/STAGE'}]}] |
214 | L3_BKA_PHE_S | Phenology (Bekaa, Lebanon - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 170, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30170 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_PHE_S/dimensions/STAGE'}]}] |
215 | L3_BUS_PHE_S | Phenology (Busia, Kenya - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 171, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30171 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_PHE_S/dimensions/STAGE'}]}] |
216 | L3_GEZ_PHE_S | Phenology (Gezira, Sudan - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 172, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30172 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_PHE_S/dimensions/STAGE'}]}] |
217 | L3_KOG_PHE_S | Phenology (Koga, Ethiopia - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 173, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30173 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_PHE_S/dimensions/STAGE'}]}] |
218 | L3_LAM_PHE_S | Phenology (Lamego, Mozambique - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 174, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30174 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_PHE_S/dimensions/STAGE'}]}] |
219 | L3_MAL_PHE_S | Phenology (Malwathu Oya West Sub Catchment, Sri Lanka - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} | [{'name': 'L3', 'index': 175, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 43, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30175 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_PHE_S/dimensions/STAGE'}]}] |
220 | L3_MUV_PHE_S | Phenology (Muvumba catchment, Rwanda - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} | [{'name': 'L3', 'index': 176, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 44, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30176 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_PHE_S/dimensions/STAGE'}]}] |
221 | L3_ODN_PHE_S | Phenology (Office du Niger, Mali - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 177, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30177 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_PHE_S/dimensions/STAGE'}]}] |
222 | L3_SED_PHE_S | Phenology (Senegal Delta, Senegal - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} | [{'name': 'L3', 'index': 178, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 46, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30178 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_PHE_S/dimensions/STAGE'}]}] |
223 | L3_YAN_PHE_S | Phenology (Yanze catchment, Rwanda - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D (dekad number)', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal (approximately every 10 days)', 'methodology': 'The year that contains the Maximum of season determines the year a growing season is attributed to (i.e. the target year). As the crop calendar is determined from a three-year NDVI time series with the target year in the middle, dekad numbers range between 1 and 108 (3 x 36 = 108 dekads). Since it occurs in the target year, MOS has a value between 37 and 72. Start of season pixel values must be smaller than 72, whilst End of season pixel values must be larger than 36. 254 denotes "no season" (if no growing season can be distinguished), and 253 "out of season". The Start, Maximum and End of up to two seasons for a given calendar year (January - December) is derived by applying the methodology described by Van Hoolst et al. (see methodology document for references). This methodology can derive phenological information from a time series of dekadal vegetation index composites, in this case NDVI. The following data is used to calculate Phenology: - NDVI'} | [{'name': 'L3', 'index': 179, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 47, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30179 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_PHE_S/dimensions/STAGE'}]}] |
224 | L3_ZAN_PHE_S | Phenology (Zankalon, Egypt - Seasonal) | Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. This information can be derived from satellite-based vegetation index time series. Phenology is delivered for a maximum of two growing seasons annually. The phenology for one growing season is therefore delivered as three raster files. The first raster indicates the Start of Season (SOS), the second the Maximum of Season (MOS) and the third represents the End of Season (EOS). With a maximum of 2 growing seasons annually, a full year is described by 6 raster files. The pixel values of the phenology data components are expressed in dekad numbers. | {'format': 'Raster Dataset', 'unit': 'D', 'dataType': 'Byte (8bit Unsigned Integer)', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'Phenological information is derived from a time series of dekadal vegetation index composites (NDVI) applying the methodology described by Van Hoolst et al. (see methodology document for references). The input dekadal NDVI time series covers exactly three calendar years (3 x 36 = 108 dekads), with the target year in the middle (1-36 for the first year, 37-72 for the target year, 73-108 for the next year). A growing season is attributed to a calendar year if the EOS occurs in it or in the first 3 dekads of the following calendar year. Thus, EOS has a value between 37 and 75 whilst SOS pixel values must be smaller than 72. 251 denotes "no season" (if no growing season can be distinguished, which is true for perennial land cover and fallow cropland).\n\nThe following data is used to calculate Phenology: NDVI\n\nData component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/en/', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations. This implies that other temporal aggregations (monthly, seasonal, annual), and layers that depend on those, are updated as well. Practically this means that a final annual aggregation of the most recent full calendar year can only be produced after the end of February. Likewise, the final monthly aggregation of the most recent calendar months can only be produced 2 full months later.', 'scale': 0, 'pixelMultiplier': 1.0, 'flags': [{'value': 251, 'description': 'no season detected'}]} | [{'name': 'L3', 'index': 180, 'context': 'LEVELS_LIST'}, {'name': 'LAND', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30180 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S'}] | {'code': 'PHE', 'caption': 'Phenology', 'description': 'Phenology indicates the cycle or season of a crop and, in this case, is defined by the dekad (D) corresponding to the start, maximum and end of the growing season. The pixel values of the phenology data components are expressed in a integer number representing the related dekad (D).', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 4, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/measures/PHE'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/SEASON'}]}, {'code': 'STAGE', 'caption': 'Growing Stage', 'description': 'Refers to the stage (phase) of growing season, specifically to the Start, Maximum and End of a growing season', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_PHE_S/dimensions/STAGE'}]}] |
225 | L3_AWA_QUAL_LCC_S | Quality of Land Cover Classification (Awash, Ethiopia - Seasonal) | The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} | [{'name': 'L3', 'index': 181, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 1, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30181 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/measures/ACC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_LCC_S/dimensions/SEASON'}]}] |
226 | L3_BKA_QUAL_LCC_S | Quality of Land Cover Classification (Bekaa, Lebanon - Seasonal) | The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'flags': [{'value': 240, 'description': 'used fixed mask'}, {'value': 241, 'description': 'reclassified during post-processing'}], 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} | [{'name': 'L3', 'index': 182, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 2, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30182 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/measures/ACC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_LCC_S/dimensions/SEASON'}]}] |
227 | L3_KOG_QUAL_LCC_S | Quality of Land Cover Classification (Koga, Ethiopia - Seasonal) | The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'flags': [{'value': 240, 'description': 'used fixed mask'}, {'value': 241, 'description': 'reclassified during post-processing'}], 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} | [{'name': 'L3', 'index': 185, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 5, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30185 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/measures/ACC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_LCC_S/dimensions/SEASON'}]}] |
228 | L3_ODN_QUAL_LCC_S | Quality of Land Cover Classification (Office du Niger, Mali - Seasonal) | The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} | [{'name': 'L3', 'index': 189, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 9, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30189 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/measures/ACC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_LCC_S/dimensions/SEASON'}]}] |
229 | L3_ZAN_QUAL_LCC_S | Quality of Land Cover Classification (Zankalon, Egypt - Seasonal) | The layer indicates the quality (in percentage %) of the original classifier and whether a pixel was re-classified during post-processing. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Seasonal', 'methodology': 'A combination of factors influences the accuracy of the classification across a land cover classification map. All land cover maps contain a fraction of falsely classified pixels. At level 3, the land cover classification quality layer combines the result of the machine learning classifier quality output, with flags that indicate when pixels were reclassified during post-processing: - a flag value of 240 indicates that a pixel was reclassified using a fixed mask (used in isolated cases). - a flag value of 241 indicates that a pixel was reclassified during post-processing. Pixel values represent the accuracy of the classification expressed in percentage (%). A quality value close to 100 represents more certainty regarding the classification, whilst pixel values close to 0 indicate pixels for which the classification is less accurate.'} | [{'name': 'L3', 'index': 192, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 12, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30192 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 3, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/measures/ACC'}]} | [{'code': 'YEAR', 'caption': 'Year', 'description': 'Year', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/dimensions/YEAR'}]}, {'code': 'SEASON', 'caption': 'Season', 'description': 'Refers to the growing season. The length and number may vary, with a maximum of 2 growing seasons per year.', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'WHAT', 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_LCC_S/dimensions/SEASON'}]}] |
230 | L3_AWA_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Awash, Ethiopia - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Awash, Ethiopia', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N'} | [{'name': 'L3', 'index': 193, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 13, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30193 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
231 | L3_BKA_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Bekaa, Lebanon - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Bekaa, Lebanon', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} | [{'name': 'L3', 'index': 194, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 14, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30194 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
232 | L3_BUS_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Busia, Kenya - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Busia, Kenya', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} | [{'name': 'L3', 'index': 195, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 15, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30195 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
233 | L3_GEZ_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Gezira, Sudan - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Gezira, Sudan', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} | [{'name': 'L3', 'index': 196, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 16, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30196 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
234 | L3_KOG_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Koga, Ethiopia - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Koga, Ethiopia', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N'} | [{'name': 'L3', 'index': 197, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 17, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30197 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
235 | L3_LAM_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Lamego, Mozambique - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Lamego, Mozambique', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S'} | [{'name': 'L3', 'index': 198, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 18, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30198 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
236 | L3_MAL_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Malwathu Oya West Sub Catchment, Sri Lanka - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Malwathu Oya West Sub Catchment, Sri Lanka', 'spatialReferenceSystem': 'EPSG:32644 - WGS 84 / UTM zone 44N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L3', 'index': 199, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 19, 'context': 'CATEGORIES_LIST'}, {'name': 'MAL', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30199 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MAL_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
237 | L3_MUV_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Muvumba catchment, Rwanda - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Muvumba catchment, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L3', 'index': 200, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 20, 'context': 'CATEGORIES_LIST'}, {'name': 'MUV', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30200 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_MUV_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
238 | L3_ODN_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Office du Niger, Mali - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Office du Niger, Mali', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N'} | [{'name': 'L3', 'index': 201, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 21, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30201 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
239 | L3_SED_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Senegal Delta, Senegal - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Senegal Delta, Senegal', 'spatialReferenceSystem': 'EPSG:32628 - WGS 84 / UTM zone 28N', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L3', 'index': 202, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 22, 'context': 'CATEGORIES_LIST'}, {'name': 'SED', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30202 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_SED_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
240 | L3_YAN_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Yanze catchment, Rwanda - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'format': 'Raster Dataset', 'unit': 'd', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Yanze basin, Rwanda', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2015 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/'} | [{'name': 'L3', 'index': 203, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 23, 'context': 'CATEGORIES_LIST'}, {'name': 'YAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30203 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_YAN_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
241 | L3_ZAN_QUAL_NDVI_D | Quality of Normalized Difference Vegetation Index (Zankalon, Egypt - Dekadal) | The layer gives an indication of the quality of the NDVI input data. It shows whether a valid observation was available for that dekad, and if not, the length of the data gap since the nearest valid observation, in dekads. | {'unit': 'd', 'format': 'Raster Dataset', 'dataType': 'Byte', 'methodology': 'The quality layer is produced during the compositing and smoothing of the NDVI. The quality index (QI) for every pixel in each dekad depicts the number of dekads since the last valid observation used for reconstruction. The fundamental idea is that the longer the gap, the less reliable the smoothing is. When a number of consecutive dekads did not have direct observations for calculating the NDVI, the quality layer pixel value of the consecutive dekadal NDVI quality layers will represent the cumulative number of dekads since a valid observation. The user can use consecutive NDVI Quality layers to calculate the length of the gap between valid observations. In the case that the pixel observation is usable and no reconstruction was needed, the QI is set to 0 (ideal situation). For the observations at the profile edges, it is assumed that the (a priori unknown) observations preceding the first valid observation and following the last valid observations are "good".\n\nThis quality layer depicts the quality for the NDVI, fAPAR, albedo and NPP, as all these data components rely on the same input, i.e. the spectral reflectance data. Furthermore, the length of the data gap is the same. Data component developed through collaboration with the FRAME Consortium. More information can be found at: http://www.fao.org/in-action/remote-sensing-for-water-productivity/', 'noDataValue': 255, 'spatialExtent': 'Zankalon, Egypt', 'temporalExtent': 'Dekadal', 'spatialResolution': '30m', 'temporalResolution': 'from January 2009 to present', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N'} | [{'name': 'L3', 'index': 204, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 24, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30204 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D'}] | {'code': 'N_DEKADS', 'caption': 'Number of Dekads', 'description': 'number of dekads', 'workspaceCode': 'WAPOR_2', 'unit': 'D', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D/measures/N_DEKADS'}]} | [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_D/dimensions/DEKAD'}]}] |
242 | L3_AWA_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Awash, Ethiopia - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Awash, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 217, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 37, 'context': 'CATEGORIES_LIST'}, {'name': 'AWA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30217 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_AWA_QUAL_NDVI_LT/dimensions/LTP'}]}] |
243 | L3_BKA_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Bekaa, Lebanon - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Bekaa, Lebanon', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 218, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 38, 'context': 'CATEGORIES_LIST'}, {'name': 'BKA', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30218 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BKA_QUAL_NDVI_LT/dimensions/LTP'}]}] |
244 | L3_BUS_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Busia, Kenya - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Busia, Kenya', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 219, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 39, 'context': 'CATEGORIES_LIST'}, {'name': 'BUS', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30219 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_BUS_QUAL_NDVI_LT/dimensions/LTP'}]}] |
245 | L3_GEZ_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Gezira, Sudan - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Gezira, Sudan', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 220, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 40, 'context': 'CATEGORIES_LIST'}, {'name': 'GEZ', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30220 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_GEZ_QUAL_NDVI_LT/dimensions/LTP'}]}] |
246 | L3_KOG_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Koga, Ethiopia - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Koga, Ethiopia', 'spatialReferenceSystem': 'EPSG:32637 - WGS 84 / UTM zone 37N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 221, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 41, 'context': 'CATEGORIES_LIST'}, {'name': 'KOG', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30221 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_KOG_QUAL_NDVI_LT/dimensions/LTP'}]}] |
247 | L3_LAM_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Lamego, Mozambique - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Lamego, Mozambique', 'spatialReferenceSystem': 'EPSG:32736 - WGS 84 / UTM zone 36S', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 222, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 42, 'context': 'CATEGORIES_LIST'}, {'name': 'LAM', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30222 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_LAM_QUAL_NDVI_LT/dimensions/LTP'}]}] |
248 | L3_ODN_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Office du Niger, Mali - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Office du Niger, Mali', 'spatialReferenceSystem': 'EPSG:32630 - WGS 84 / UTM zone 30N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 225, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 45, 'context': 'CATEGORIES_LIST'}, {'name': 'ODN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30225 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ODN_QUAL_NDVI_LT/dimensions/LTP'}]}] |
249 | L3_ZAN_QUAL_NDVI_LT | Quality of Normalized Difference Vegetation Index (Zankalon, Egypt - Long Term) | The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009 to date). Pixel values indicate the percentage of good NDVI observations over the entire time period. | {'format': 'Raster Dataset', 'unit': '%', 'dataType': 'Byte', 'noDataValue': 255, 'spatialResolution': '30m', 'spatialExtent': 'Zankalon, Egypt', 'spatialReferenceSystem': 'EPSG:32636 - WGS 84 / UTM zone 36N', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Long Term', 'methodology': 'The long-term NDVI quality layer is produced as a summary of the quality for the entire time period (2009-2019). Pixel values indicate the percentage of good NDVI observations over the entire time period. While the dekadal NDVI Quality layer shows the quality of the data for a specific time of year, the long-term NDVI quality layer has been added to give users a quick overview of the areas that tend to suffer more cloud cover.'} | [{'name': 'L3', 'index': 228, 'context': 'LEVELS_LIST'}, {'name': 'ANCILLARY', 'index': 48, 'context': 'CATEGORIES_LIST'}, {'name': 'ZAN', 'context': 'L3_AREA'}] | WAPOR_2 | RASTER | 30228 | {'pixelTimeSeries': True, 'areaStats': True} | False | [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT'}] | {'code': 'ACC', 'caption': 'Accuracy', 'description': 'Accuracy of an observation expressed in percentage. Values close to 100 represents more certainty regarding the observation value, whilst values close to 0 indicate that the observation value is less accurate.', 'workspaceCode': 'WAPOR_2', 'unit': '%', 'scale': 0, 'multiplier': 1.0, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT/measures/ACC'}]} | [{'code': 'LTP', 'caption': 'Long Term', 'description': 'long term period (2009 to date)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': 'YEAR', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L3_ZAN_QUAL_NDVI_LT/dimensions/LTP'}]}] |
# check further meta data content of the Precipitation data layer
cube_code='L1_PCP_D'
cube_info=WaPOR.API.getCubeInfo(cube_code)
cube_info
{'code': 'L1_PCP_D', 'caption': 'Precipitation (Dekadal)', 'description': 'Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha).', 'additionalInfo': {'format': 'Raster Dataset', 'unit': 'mm (1mm=1l/m² or 1mm=10m³/ha)', 'dataType': 'Int16 (16bit Integer)', 'conversionFactor': 'the pixel value in the downloaded data must be multiplied by 0.1', 'noDataValue': -9999, 'spatialResolution': 'Approximately 5km (0.05 degree)', 'spatialExtent': 'Africa and Near East', 'spatialReferenceSystem': 'EPSG:4326 - WGS84 - Geographic Coordinate System (lat/long)', 'temporalResolution': 'from January 2009 to present', 'temporalExtent': 'Dekadal (approximately every 10 days)', 'nearRealTime': 'New dekadal data layers are released approximately 5 days after the end of a dekad. A higher quality version of the same data layer is uploaded after 6 dekads have passed. This final version of the dekadal dataset has a higher quality because gap filling and interpolation processes, where needed, have been based on more data observations.', 'methodology': 'See daily precipitation (L1_PCP_E) for further information. The dekadal average is obtained by taking the daily PCP, summing the days of each dekad, and dividing the total by the number of the days in the dekad.'}, 'tags': [{'name': 'L1', 'index': 20, 'context': 'LEVELS_LIST'}, {'name': 'CLIMATE', 'index': 6, 'context': 'CATEGORIES_LIST'}, {'name': 'L1', 'index': 20, 'context': 'levels'}, {'name': 'C4', 'index': 6, 'context': 'categories'}], 'workspaceCode': 'WAPOR_2', 'dataType': 'RASTER', 'index': 120, 'operation': {'pixelTimeSeries': True, 'areaStatsTimeSeries': True}, 'hidden': False, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D'}], 'measure': {'code': 'WATER_MM', 'caption': 'Amount of Water', 'description': 'Amount of water expressed in mm which can be converted into volume for a specific area (1mm=1l/m² or 1mm=10m³/ha).', 'workspaceCode': 'WAPOR_2', 'unit': 'mm', 'scale': 3, 'multiplier': 0.1, 'index': 2, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/measures/WATER_MM'}]}, 'dimension': [{'code': 'DEKAD', 'caption': 'Dekad (10-Days period)', 'description': 'Each month is splitted in 3 10-Days periods: first period 1-10, middle 11-20, last from 21st to the end of the month. Hence there 3*12=36 DEKADs per year (1..36)', 'workspaceCode': 'WAPOR_2', 'hierarchical': False, 'type': 'TIME', 'timeSubtype': '10-DAYS', 'index': 1, 'links': [{'rel': 'self', 'href': 'https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/cubes/L1_PCP_D/dimensions/DEKAD'}]}]}
print('Description: {0} \n\nmultiplier: {1} \n\nunit: {2} \n'.format(cube_info['description'],
cube_info['measure']['multiplier'],
cube_info['measure']['unit']))
Description: Precipitation data is delivered on a daily basis. The source of this dataset is CHIRPS (Climate Hazards Group InfraRed Precipitation with Station) quasi-global rainfall dataset, starting from 1981 up to near present. The value of each pixel represents the average of daily precipitation in the dekad expressed in mm (1mm=1l/m² or 1mm=10m³/ha). multiplier: 0.1 unit: mm
df_avail=WaPOR.API.getAvailData(cube_code, time_range='2009-01-01,2023-12-01')
df_avail
DEKAD | raster_id | bbox | time_code | |
---|---|---|---|---|
0 | 2009-01 from 01 to 10 | L1_PCP_0901 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-01-01,2009-01-11) |
1 | 2009-01 from 11 to 20 | L1_PCP_0902 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-01-11,2009-01-21) |
2 | 2009-01 from 21 to 31 | L1_PCP_0903 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-01-21,2009-02-01) |
3 | 2009-02 from 01 to 10 | L1_PCP_0904 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-02-01,2009-02-11) |
4 | 2009-02 from 11 to 20 | L1_PCP_0905 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-02-11,2009-02-21) |
5 | 2009-02 from 21 to 28 | L1_PCP_0906 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-02-21,2009-03-01) |
6 | 2009-03 from 01 to 10 | L1_PCP_0907 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-03-01,2009-03-11) |
7 | 2009-03 from 11 to 20 | L1_PCP_0908 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-03-11,2009-03-21) |
8 | 2009-03 from 21 to 31 | L1_PCP_0909 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-03-21,2009-04-01) |
9 | 2009-04 from 01 to 10 | L1_PCP_0910 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-04-01,2009-04-11) |
10 | 2009-04 from 11 to 20 | L1_PCP_0911 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-04-11,2009-04-21) |
11 | 2009-04 from 21 to 30 | L1_PCP_0912 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-04-21,2009-05-01) |
12 | 2009-05 from 01 to 10 | L1_PCP_0913 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-05-01,2009-05-11) |
13 | 2009-05 from 11 to 20 | L1_PCP_0914 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-05-11,2009-05-21) |
14 | 2009-05 from 21 to 31 | L1_PCP_0915 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-05-21,2009-06-01) |
15 | 2009-06 from 01 to 10 | L1_PCP_0916 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-06-01,2009-06-11) |
16 | 2009-06 from 11 to 20 | L1_PCP_0917 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-06-11,2009-06-21) |
17 | 2009-06 from 21 to 30 | L1_PCP_0918 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-06-21,2009-07-01) |
18 | 2009-07 from 01 to 10 | L1_PCP_0919 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-07-01,2009-07-11) |
19 | 2009-07 from 11 to 20 | L1_PCP_0920 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-07-11,2009-07-21) |
20 | 2009-07 from 21 to 31 | L1_PCP_0921 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-07-21,2009-08-01) |
21 | 2009-08 from 01 to 10 | L1_PCP_0922 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-08-01,2009-08-11) |
22 | 2009-08 from 11 to 20 | L1_PCP_0923 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-08-11,2009-08-21) |
23 | 2009-08 from 21 to 31 | L1_PCP_0924 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-08-21,2009-09-01) |
24 | 2009-09 from 01 to 10 | L1_PCP_0925 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-09-01,2009-09-11) |
25 | 2009-09 from 11 to 20 | L1_PCP_0926 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-09-11,2009-09-21) |
26 | 2009-09 from 21 to 30 | L1_PCP_0927 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-09-21,2009-10-01) |
27 | 2009-10 from 01 to 10 | L1_PCP_0928 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-10-01,2009-10-11) |
28 | 2009-10 from 11 to 20 | L1_PCP_0929 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-10-11,2009-10-21) |
29 | 2009-10 from 21 to 31 | L1_PCP_0930 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-10-21,2009-11-01) |
30 | 2009-11 from 01 to 10 | L1_PCP_0931 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-11-01,2009-11-11) |
31 | 2009-11 from 11 to 20 | L1_PCP_0932 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-11-11,2009-11-21) |
32 | 2009-11 from 21 to 30 | L1_PCP_0933 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-11-21,2009-12-01) |
33 | 2009-12 from 01 to 10 | L1_PCP_0934 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-12-01,2009-12-11) |
34 | 2009-12 from 11 to 20 | L1_PCP_0935 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-12-11,2009-12-21) |
35 | 2009-12 from 21 to 31 | L1_PCP_0936 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2009-12-21,2010-01-01) |
36 | 2010-01 from 01 to 10 | L1_PCP_1001 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-01-01,2010-01-11) |
37 | 2010-01 from 11 to 20 | L1_PCP_1002 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-01-11,2010-01-21) |
38 | 2010-01 from 21 to 31 | L1_PCP_1003 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-01-21,2010-02-01) |
39 | 2010-02 from 01 to 10 | L1_PCP_1004 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-02-01,2010-02-11) |
40 | 2010-02 from 11 to 20 | L1_PCP_1005 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-02-11,2010-02-21) |
41 | 2010-02 from 21 to 28 | L1_PCP_1006 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-02-21,2010-03-01) |
42 | 2010-03 from 01 to 10 | L1_PCP_1007 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-03-01,2010-03-11) |
43 | 2010-03 from 11 to 20 | L1_PCP_1008 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-03-11,2010-03-21) |
44 | 2010-03 from 21 to 31 | L1_PCP_1009 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-03-21,2010-04-01) |
45 | 2010-04 from 01 to 10 | L1_PCP_1010 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-04-01,2010-04-11) |
46 | 2010-04 from 11 to 20 | L1_PCP_1011 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-04-11,2010-04-21) |
47 | 2010-04 from 21 to 30 | L1_PCP_1012 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-04-21,2010-05-01) |
48 | 2010-05 from 01 to 10 | L1_PCP_1013 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-05-01,2010-05-11) |
49 | 2010-05 from 11 to 20 | L1_PCP_1014 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-05-11,2010-05-21) |
50 | 2010-05 from 21 to 31 | L1_PCP_1015 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-05-21,2010-06-01) |
51 | 2010-06 from 01 to 10 | L1_PCP_1016 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-06-01,2010-06-11) |
52 | 2010-06 from 11 to 20 | L1_PCP_1017 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-06-11,2010-06-21) |
53 | 2010-06 from 21 to 30 | L1_PCP_1018 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-06-21,2010-07-01) |
54 | 2010-07 from 01 to 10 | L1_PCP_1019 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-07-01,2010-07-11) |
55 | 2010-07 from 11 to 20 | L1_PCP_1020 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-07-11,2010-07-21) |
56 | 2010-07 from 21 to 31 | L1_PCP_1021 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-07-21,2010-08-01) |
57 | 2010-08 from 01 to 10 | L1_PCP_1022 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-08-01,2010-08-11) |
58 | 2010-08 from 11 to 20 | L1_PCP_1023 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-08-11,2010-08-21) |
59 | 2010-08 from 21 to 31 | L1_PCP_1024 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-08-21,2010-09-01) |
60 | 2010-09 from 01 to 10 | L1_PCP_1025 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-09-01,2010-09-11) |
61 | 2010-09 from 11 to 20 | L1_PCP_1026 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-09-11,2010-09-21) |
62 | 2010-09 from 21 to 30 | L1_PCP_1027 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-09-21,2010-10-01) |
63 | 2010-10 from 01 to 10 | L1_PCP_1028 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-10-01,2010-10-11) |
64 | 2010-10 from 11 to 20 | L1_PCP_1029 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-10-11,2010-10-21) |
65 | 2010-10 from 21 to 31 | L1_PCP_1030 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-10-21,2010-11-01) |
66 | 2010-11 from 01 to 10 | L1_PCP_1031 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-11-01,2010-11-11) |
67 | 2010-11 from 11 to 20 | L1_PCP_1032 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-11-11,2010-11-21) |
68 | 2010-11 from 21 to 30 | L1_PCP_1033 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-11-21,2010-12-01) |
69 | 2010-12 from 01 to 10 | L1_PCP_1034 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-12-01,2010-12-11) |
70 | 2010-12 from 11 to 20 | L1_PCP_1035 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-12-11,2010-12-21) |
71 | 2010-12 from 21 to 31 | L1_PCP_1036 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2010-12-21,2011-01-01) |
72 | 2011-01 from 01 to 10 | L1_PCP_1101 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-01-01,2011-01-11) |
73 | 2011-01 from 11 to 20 | L1_PCP_1102 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-01-11,2011-01-21) |
74 | 2011-01 from 21 to 31 | L1_PCP_1103 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-01-21,2011-02-01) |
75 | 2011-02 from 01 to 10 | L1_PCP_1104 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-02-01,2011-02-11) |
76 | 2011-02 from 11 to 20 | L1_PCP_1105 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-02-11,2011-02-21) |
77 | 2011-02 from 21 to 28 | L1_PCP_1106 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-02-21,2011-03-01) |
78 | 2011-03 from 01 to 10 | L1_PCP_1107 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-03-01,2011-03-11) |
79 | 2011-03 from 11 to 20 | L1_PCP_1108 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-03-11,2011-03-21) |
80 | 2011-03 from 21 to 31 | L1_PCP_1109 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-03-21,2011-04-01) |
81 | 2011-04 from 01 to 10 | L1_PCP_1110 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-04-01,2011-04-11) |
82 | 2011-04 from 11 to 20 | L1_PCP_1111 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-04-11,2011-04-21) |
83 | 2011-04 from 21 to 30 | L1_PCP_1112 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-04-21,2011-05-01) |
84 | 2011-05 from 01 to 10 | L1_PCP_1113 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-05-01,2011-05-11) |
85 | 2011-05 from 11 to 20 | L1_PCP_1114 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-05-11,2011-05-21) |
86 | 2011-05 from 21 to 31 | L1_PCP_1115 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-05-21,2011-06-01) |
87 | 2011-06 from 01 to 10 | L1_PCP_1116 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-06-01,2011-06-11) |
88 | 2011-06 from 11 to 20 | L1_PCP_1117 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-06-11,2011-06-21) |
89 | 2011-06 from 21 to 30 | L1_PCP_1118 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-06-21,2011-07-01) |
90 | 2011-07 from 01 to 10 | L1_PCP_1119 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-07-01,2011-07-11) |
91 | 2011-07 from 11 to 20 | L1_PCP_1120 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-07-11,2011-07-21) |
92 | 2011-07 from 21 to 31 | L1_PCP_1121 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-07-21,2011-08-01) |
93 | 2011-08 from 01 to 10 | L1_PCP_1122 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-08-01,2011-08-11) |
94 | 2011-08 from 11 to 20 | L1_PCP_1123 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-08-11,2011-08-21) |
95 | 2011-08 from 21 to 31 | L1_PCP_1124 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-08-21,2011-09-01) |
96 | 2011-09 from 01 to 10 | L1_PCP_1125 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-09-01,2011-09-11) |
97 | 2011-09 from 11 to 20 | L1_PCP_1126 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-09-11,2011-09-21) |
98 | 2011-09 from 21 to 30 | L1_PCP_1127 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-09-21,2011-10-01) |
99 | 2011-10 from 01 to 10 | L1_PCP_1128 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-10-01,2011-10-11) |
100 | 2011-10 from 11 to 20 | L1_PCP_1129 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-10-11,2011-10-21) |
101 | 2011-10 from 21 to 31 | L1_PCP_1130 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-10-21,2011-11-01) |
102 | 2011-11 from 01 to 10 | L1_PCP_1131 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-11-01,2011-11-11) |
103 | 2011-11 from 11 to 20 | L1_PCP_1132 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-11-11,2011-11-21) |
104 | 2011-11 from 21 to 30 | L1_PCP_1133 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-11-21,2011-12-01) |
105 | 2011-12 from 01 to 10 | L1_PCP_1134 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-12-01,2011-12-11) |
106 | 2011-12 from 11 to 20 | L1_PCP_1135 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-12-11,2011-12-21) |
107 | 2011-12 from 21 to 31 | L1_PCP_1136 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2011-12-21,2012-01-01) |
108 | 2012-01 from 01 to 10 | L1_PCP_1201 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-01-01,2012-01-11) |
109 | 2012-01 from 11 to 20 | L1_PCP_1202 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-01-11,2012-01-21) |
110 | 2012-01 from 21 to 31 | L1_PCP_1203 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-01-21,2012-02-01) |
111 | 2012-02 from 01 to 10 | L1_PCP_1204 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-02-01,2012-02-11) |
112 | 2012-02 from 11 to 20 | L1_PCP_1205 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-02-11,2012-02-21) |
113 | 2012-02 from 21 to 29 | L1_PCP_1206 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-02-21,2012-03-01) |
114 | 2012-03 from 01 to 10 | L1_PCP_1207 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-03-01,2012-03-11) |
115 | 2012-03 from 11 to 20 | L1_PCP_1208 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-03-11,2012-03-21) |
116 | 2012-03 from 21 to 31 | L1_PCP_1209 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-03-21,2012-04-01) |
117 | 2012-04 from 01 to 10 | L1_PCP_1210 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-04-01,2012-04-11) |
118 | 2012-04 from 11 to 20 | L1_PCP_1211 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-04-11,2012-04-21) |
119 | 2012-04 from 21 to 30 | L1_PCP_1212 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-04-21,2012-05-01) |
120 | 2012-05 from 01 to 10 | L1_PCP_1213 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-05-01,2012-05-11) |
121 | 2012-05 from 11 to 20 | L1_PCP_1214 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-05-11,2012-05-21) |
122 | 2012-05 from 21 to 31 | L1_PCP_1215 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-05-21,2012-06-01) |
123 | 2012-06 from 01 to 10 | L1_PCP_1216 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-06-01,2012-06-11) |
124 | 2012-06 from 11 to 20 | L1_PCP_1217 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-06-11,2012-06-21) |
125 | 2012-06 from 21 to 30 | L1_PCP_1218 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-06-21,2012-07-01) |
126 | 2012-07 from 01 to 10 | L1_PCP_1219 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-07-01,2012-07-11) |
127 | 2012-07 from 11 to 20 | L1_PCP_1220 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-07-11,2012-07-21) |
128 | 2012-07 from 21 to 31 | L1_PCP_1221 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-07-21,2012-08-01) |
129 | 2012-08 from 01 to 10 | L1_PCP_1222 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-08-01,2012-08-11) |
130 | 2012-08 from 11 to 20 | L1_PCP_1223 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-08-11,2012-08-21) |
131 | 2012-08 from 21 to 31 | L1_PCP_1224 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-08-21,2012-09-01) |
132 | 2012-09 from 01 to 10 | L1_PCP_1225 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-09-01,2012-09-11) |
133 | 2012-09 from 11 to 20 | L1_PCP_1226 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-09-11,2012-09-21) |
134 | 2012-09 from 21 to 30 | L1_PCP_1227 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-09-21,2012-10-01) |
135 | 2012-10 from 01 to 10 | L1_PCP_1228 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-10-01,2012-10-11) |
136 | 2012-10 from 11 to 20 | L1_PCP_1229 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-10-11,2012-10-21) |
137 | 2012-10 from 21 to 31 | L1_PCP_1230 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-10-21,2012-11-01) |
138 | 2012-11 from 01 to 10 | L1_PCP_1231 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-11-01,2012-11-11) |
139 | 2012-11 from 11 to 20 | L1_PCP_1232 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-11-11,2012-11-21) |
140 | 2012-11 from 21 to 30 | L1_PCP_1233 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-11-21,2012-12-01) |
141 | 2012-12 from 01 to 10 | L1_PCP_1234 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-12-01,2012-12-11) |
142 | 2012-12 from 11 to 20 | L1_PCP_1235 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-12-11,2012-12-21) |
143 | 2012-12 from 21 to 31 | L1_PCP_1236 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2012-12-21,2013-01-01) |
144 | 2013-01 from 01 to 10 | L1_PCP_1301 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-01-01,2013-01-11) |
145 | 2013-01 from 11 to 20 | L1_PCP_1302 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-01-11,2013-01-21) |
146 | 2013-01 from 21 to 31 | L1_PCP_1303 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-01-21,2013-02-01) |
147 | 2013-02 from 01 to 10 | L1_PCP_1304 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-02-01,2013-02-11) |
148 | 2013-02 from 11 to 20 | L1_PCP_1305 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-02-11,2013-02-21) |
149 | 2013-02 from 21 to 28 | L1_PCP_1306 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-02-21,2013-03-01) |
150 | 2013-03 from 01 to 10 | L1_PCP_1307 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-03-01,2013-03-11) |
151 | 2013-03 from 11 to 20 | L1_PCP_1308 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-03-11,2013-03-21) |
152 | 2013-03 from 21 to 31 | L1_PCP_1309 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-03-21,2013-04-01) |
153 | 2013-04 from 01 to 10 | L1_PCP_1310 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-04-01,2013-04-11) |
154 | 2013-04 from 11 to 20 | L1_PCP_1311 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-04-11,2013-04-21) |
155 | 2013-04 from 21 to 30 | L1_PCP_1312 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-04-21,2013-05-01) |
156 | 2013-05 from 01 to 10 | L1_PCP_1313 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-05-01,2013-05-11) |
157 | 2013-05 from 11 to 20 | L1_PCP_1314 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-05-11,2013-05-21) |
158 | 2013-05 from 21 to 31 | L1_PCP_1315 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-05-21,2013-06-01) |
159 | 2013-06 from 01 to 10 | L1_PCP_1316 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-06-01,2013-06-11) |
160 | 2013-06 from 11 to 20 | L1_PCP_1317 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-06-11,2013-06-21) |
161 | 2013-06 from 21 to 30 | L1_PCP_1318 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-06-21,2013-07-01) |
162 | 2013-07 from 01 to 10 | L1_PCP_1319 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-07-01,2013-07-11) |
163 | 2013-07 from 11 to 20 | L1_PCP_1320 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-07-11,2013-07-21) |
164 | 2013-07 from 21 to 31 | L1_PCP_1321 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-07-21,2013-08-01) |
165 | 2013-08 from 01 to 10 | L1_PCP_1322 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-08-01,2013-08-11) |
166 | 2013-08 from 11 to 20 | L1_PCP_1323 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-08-11,2013-08-21) |
167 | 2013-08 from 21 to 31 | L1_PCP_1324 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-08-21,2013-09-01) |
168 | 2013-09 from 01 to 10 | L1_PCP_1325 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-09-01,2013-09-11) |
169 | 2013-09 from 11 to 20 | L1_PCP_1326 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-09-11,2013-09-21) |
170 | 2013-09 from 21 to 30 | L1_PCP_1327 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-09-21,2013-10-01) |
171 | 2013-10 from 01 to 10 | L1_PCP_1328 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-10-01,2013-10-11) |
172 | 2013-10 from 11 to 20 | L1_PCP_1329 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-10-11,2013-10-21) |
173 | 2013-10 from 21 to 31 | L1_PCP_1330 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-10-21,2013-11-01) |
174 | 2013-11 from 01 to 10 | L1_PCP_1331 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-11-01,2013-11-11) |
175 | 2013-11 from 11 to 20 | L1_PCP_1332 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-11-11,2013-11-21) |
176 | 2013-11 from 21 to 30 | L1_PCP_1333 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-11-21,2013-12-01) |
177 | 2013-12 from 01 to 10 | L1_PCP_1334 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-12-01,2013-12-11) |
178 | 2013-12 from 11 to 20 | L1_PCP_1335 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-12-11,2013-12-21) |
179 | 2013-12 from 21 to 31 | L1_PCP_1336 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2013-12-21,2014-01-01) |
180 | 2014-01 from 01 to 10 | L1_PCP_1401 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-01-01,2014-01-11) |
181 | 2014-01 from 11 to 20 | L1_PCP_1402 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-01-11,2014-01-21) |
182 | 2014-01 from 21 to 31 | L1_PCP_1403 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-01-21,2014-02-01) |
183 | 2014-02 from 01 to 10 | L1_PCP_1404 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-02-01,2014-02-11) |
184 | 2014-02 from 11 to 20 | L1_PCP_1405 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-02-11,2014-02-21) |
185 | 2014-02 from 21 to 28 | L1_PCP_1406 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-02-21,2014-03-01) |
186 | 2014-03 from 01 to 10 | L1_PCP_1407 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-03-01,2014-03-11) |
187 | 2014-03 from 11 to 20 | L1_PCP_1408 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-03-11,2014-03-21) |
188 | 2014-03 from 21 to 31 | L1_PCP_1409 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-03-21,2014-04-01) |
189 | 2014-04 from 01 to 10 | L1_PCP_1410 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-04-01,2014-04-11) |
190 | 2014-04 from 11 to 20 | L1_PCP_1411 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-04-11,2014-04-21) |
191 | 2014-04 from 21 to 30 | L1_PCP_1412 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-04-21,2014-05-01) |
192 | 2014-05 from 01 to 10 | L1_PCP_1413 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-05-01,2014-05-11) |
193 | 2014-05 from 11 to 20 | L1_PCP_1414 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-05-11,2014-05-21) |
194 | 2014-05 from 21 to 31 | L1_PCP_1415 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-05-21,2014-06-01) |
195 | 2014-06 from 01 to 10 | L1_PCP_1416 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-06-01,2014-06-11) |
196 | 2014-06 from 11 to 20 | L1_PCP_1417 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-06-11,2014-06-21) |
197 | 2014-06 from 21 to 30 | L1_PCP_1418 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-06-21,2014-07-01) |
198 | 2014-07 from 01 to 10 | L1_PCP_1419 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-07-01,2014-07-11) |
199 | 2014-07 from 11 to 20 | L1_PCP_1420 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-07-11,2014-07-21) |
200 | 2014-07 from 21 to 31 | L1_PCP_1421 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-07-21,2014-08-01) |
201 | 2014-08 from 01 to 10 | L1_PCP_1422 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-08-01,2014-08-11) |
202 | 2014-08 from 11 to 20 | L1_PCP_1423 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-08-11,2014-08-21) |
203 | 2014-08 from 21 to 31 | L1_PCP_1424 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-08-21,2014-09-01) |
204 | 2014-09 from 01 to 10 | L1_PCP_1425 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-09-01,2014-09-11) |
205 | 2014-09 from 11 to 20 | L1_PCP_1426 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-09-11,2014-09-21) |
206 | 2014-09 from 21 to 30 | L1_PCP_1427 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-09-21,2014-10-01) |
207 | 2014-10 from 01 to 10 | L1_PCP_1428 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-10-01,2014-10-11) |
208 | 2014-10 from 11 to 20 | L1_PCP_1429 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-10-11,2014-10-21) |
209 | 2014-10 from 21 to 31 | L1_PCP_1430 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-10-21,2014-11-01) |
210 | 2014-11 from 01 to 10 | L1_PCP_1431 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-11-01,2014-11-11) |
211 | 2014-11 from 11 to 20 | L1_PCP_1432 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-11-11,2014-11-21) |
212 | 2014-11 from 21 to 30 | L1_PCP_1433 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-11-21,2014-12-01) |
213 | 2014-12 from 01 to 10 | L1_PCP_1434 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-12-01,2014-12-11) |
214 | 2014-12 from 11 to 20 | L1_PCP_1435 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-12-11,2014-12-21) |
215 | 2014-12 from 21 to 31 | L1_PCP_1436 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2014-12-21,2015-01-01) |
216 | 2015-01 from 01 to 10 | L1_PCP_1501 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-01-01,2015-01-11) |
217 | 2015-01 from 11 to 20 | L1_PCP_1502 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-01-11,2015-01-21) |
218 | 2015-01 from 21 to 31 | L1_PCP_1503 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-01-21,2015-02-01) |
219 | 2015-02 from 01 to 10 | L1_PCP_1504 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-02-01,2015-02-11) |
220 | 2015-02 from 11 to 20 | L1_PCP_1505 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-02-11,2015-02-21) |
221 | 2015-02 from 21 to 28 | L1_PCP_1506 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-02-21,2015-03-01) |
222 | 2015-03 from 01 to 10 | L1_PCP_1507 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-03-01,2015-03-11) |
223 | 2015-03 from 11 to 20 | L1_PCP_1508 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-03-11,2015-03-21) |
224 | 2015-03 from 21 to 31 | L1_PCP_1509 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-03-21,2015-04-01) |
225 | 2015-04 from 01 to 10 | L1_PCP_1510 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-04-01,2015-04-11) |
226 | 2015-04 from 11 to 20 | L1_PCP_1511 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-04-11,2015-04-21) |
227 | 2015-04 from 21 to 30 | L1_PCP_1512 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-04-21,2015-05-01) |
228 | 2015-05 from 01 to 10 | L1_PCP_1513 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-05-01,2015-05-11) |
229 | 2015-05 from 11 to 20 | L1_PCP_1514 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-05-11,2015-05-21) |
230 | 2015-05 from 21 to 31 | L1_PCP_1515 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-05-21,2015-06-01) |
231 | 2015-06 from 01 to 10 | L1_PCP_1516 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-06-01,2015-06-11) |
232 | 2015-06 from 11 to 20 | L1_PCP_1517 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-06-11,2015-06-21) |
233 | 2015-06 from 21 to 30 | L1_PCP_1518 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-06-21,2015-07-01) |
234 | 2015-07 from 01 to 10 | L1_PCP_1519 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-07-01,2015-07-11) |
235 | 2015-07 from 11 to 20 | L1_PCP_1520 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-07-11,2015-07-21) |
236 | 2015-07 from 21 to 31 | L1_PCP_1521 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-07-21,2015-08-01) |
237 | 2015-08 from 01 to 10 | L1_PCP_1522 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-08-01,2015-08-11) |
238 | 2015-08 from 11 to 20 | L1_PCP_1523 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-08-11,2015-08-21) |
239 | 2015-08 from 21 to 31 | L1_PCP_1524 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-08-21,2015-09-01) |
240 | 2015-09 from 01 to 10 | L1_PCP_1525 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-09-01,2015-09-11) |
241 | 2015-09 from 11 to 20 | L1_PCP_1526 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-09-11,2015-09-21) |
242 | 2015-09 from 21 to 30 | L1_PCP_1527 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-09-21,2015-10-01) |
243 | 2015-10 from 01 to 10 | L1_PCP_1528 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-10-01,2015-10-11) |
244 | 2015-10 from 11 to 20 | L1_PCP_1529 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-10-11,2015-10-21) |
245 | 2015-10 from 21 to 31 | L1_PCP_1530 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-10-21,2015-11-01) |
246 | 2015-11 from 01 to 10 | L1_PCP_1531 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-11-01,2015-11-11) |
247 | 2015-11 from 11 to 20 | L1_PCP_1532 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-11-11,2015-11-21) |
248 | 2015-11 from 21 to 30 | L1_PCP_1533 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-11-21,2015-12-01) |
249 | 2015-12 from 01 to 10 | L1_PCP_1534 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-12-01,2015-12-11) |
250 | 2015-12 from 11 to 20 | L1_PCP_1535 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-12-11,2015-12-21) |
251 | 2015-12 from 21 to 31 | L1_PCP_1536 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2015-12-21,2016-01-01) |
252 | 2016-01 from 01 to 10 | L1_PCP_1601 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-01-01,2016-01-11) |
253 | 2016-01 from 11 to 20 | L1_PCP_1602 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-01-11,2016-01-21) |
254 | 2016-01 from 21 to 31 | L1_PCP_1603 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-01-21,2016-02-01) |
255 | 2016-02 from 01 to 10 | L1_PCP_1604 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-02-01,2016-02-11) |
256 | 2016-02 from 11 to 20 | L1_PCP_1605 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-02-11,2016-02-21) |
257 | 2016-02 from 21 to 29 | L1_PCP_1606 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-02-21,2016-03-01) |
258 | 2016-03 from 01 to 10 | L1_PCP_1607 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-03-01,2016-03-11) |
259 | 2016-03 from 11 to 20 | L1_PCP_1608 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-03-11,2016-03-21) |
260 | 2016-03 from 21 to 31 | L1_PCP_1609 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-03-21,2016-04-01) |
261 | 2016-04 from 01 to 10 | L1_PCP_1610 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-04-01,2016-04-11) |
262 | 2016-04 from 11 to 20 | L1_PCP_1611 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-04-11,2016-04-21) |
263 | 2016-04 from 21 to 30 | L1_PCP_1612 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-04-21,2016-05-01) |
264 | 2016-05 from 01 to 10 | L1_PCP_1613 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-05-01,2016-05-11) |
265 | 2016-05 from 11 to 20 | L1_PCP_1614 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-05-11,2016-05-21) |
266 | 2016-05 from 21 to 31 | L1_PCP_1615 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-05-21,2016-06-01) |
267 | 2016-06 from 01 to 10 | L1_PCP_1616 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-06-01,2016-06-11) |
268 | 2016-06 from 11 to 20 | L1_PCP_1617 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-06-11,2016-06-21) |
269 | 2016-06 from 21 to 30 | L1_PCP_1618 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-06-21,2016-07-01) |
270 | 2016-07 from 01 to 10 | L1_PCP_1619 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-07-01,2016-07-11) |
271 | 2016-07 from 11 to 20 | L1_PCP_1620 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-07-11,2016-07-21) |
272 | 2016-07 from 21 to 31 | L1_PCP_1621 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-07-21,2016-08-01) |
273 | 2016-08 from 01 to 10 | L1_PCP_1622 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-08-01,2016-08-11) |
274 | 2016-08 from 11 to 20 | L1_PCP_1623 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-08-11,2016-08-21) |
275 | 2016-08 from 21 to 31 | L1_PCP_1624 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-08-21,2016-09-01) |
276 | 2016-09 from 01 to 10 | L1_PCP_1625 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-09-01,2016-09-11) |
277 | 2016-09 from 11 to 20 | L1_PCP_1626 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-09-11,2016-09-21) |
278 | 2016-09 from 21 to 30 | L1_PCP_1627 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-09-21,2016-10-01) |
279 | 2016-10 from 01 to 10 | L1_PCP_1628 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-10-01,2016-10-11) |
280 | 2016-10 from 11 to 20 | L1_PCP_1629 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-10-11,2016-10-21) |
281 | 2016-10 from 21 to 31 | L1_PCP_1630 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-10-21,2016-11-01) |
282 | 2016-11 from 01 to 10 | L1_PCP_1631 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-11-01,2016-11-11) |
283 | 2016-11 from 11 to 20 | L1_PCP_1632 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-11-11,2016-11-21) |
284 | 2016-11 from 21 to 30 | L1_PCP_1633 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-11-21,2016-12-01) |
285 | 2016-12 from 01 to 10 | L1_PCP_1634 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-12-01,2016-12-11) |
286 | 2016-12 from 11 to 20 | L1_PCP_1635 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-12-11,2016-12-21) |
287 | 2016-12 from 21 to 31 | L1_PCP_1636 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2016-12-21,2017-01-01) |
288 | 2017-01 from 01 to 10 | L1_PCP_1701 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-01-01,2017-01-11) |
289 | 2017-01 from 11 to 20 | L1_PCP_1702 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-01-11,2017-01-21) |
290 | 2017-01 from 21 to 31 | L1_PCP_1703 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-01-21,2017-02-01) |
291 | 2017-02 from 01 to 10 | L1_PCP_1704 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-02-01,2017-02-11) |
292 | 2017-02 from 11 to 20 | L1_PCP_1705 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-02-11,2017-02-21) |
293 | 2017-02 from 21 to 28 | L1_PCP_1706 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-02-21,2017-03-01) |
294 | 2017-03 from 01 to 10 | L1_PCP_1707 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-03-01,2017-03-11) |
295 | 2017-03 from 11 to 20 | L1_PCP_1708 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-03-11,2017-03-21) |
296 | 2017-03 from 21 to 31 | L1_PCP_1709 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-03-21,2017-04-01) |
297 | 2017-04 from 01 to 10 | L1_PCP_1710 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-04-01,2017-04-11) |
298 | 2017-04 from 11 to 20 | L1_PCP_1711 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-04-11,2017-04-21) |
299 | 2017-04 from 21 to 30 | L1_PCP_1712 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-04-21,2017-05-01) |
300 | 2017-05 from 01 to 10 | L1_PCP_1713 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-05-01,2017-05-11) |
301 | 2017-05 from 11 to 20 | L1_PCP_1714 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-05-11,2017-05-21) |
302 | 2017-05 from 21 to 31 | L1_PCP_1715 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-05-21,2017-06-01) |
303 | 2017-06 from 01 to 10 | L1_PCP_1716 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-06-01,2017-06-11) |
304 | 2017-06 from 11 to 20 | L1_PCP_1717 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-06-11,2017-06-21) |
305 | 2017-06 from 21 to 30 | L1_PCP_1718 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-06-21,2017-07-01) |
306 | 2017-07 from 01 to 10 | L1_PCP_1719 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-07-01,2017-07-11) |
307 | 2017-07 from 11 to 20 | L1_PCP_1720 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-07-11,2017-07-21) |
308 | 2017-07 from 21 to 31 | L1_PCP_1721 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-07-21,2017-08-01) |
309 | 2017-08 from 01 to 10 | L1_PCP_1722 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-08-01,2017-08-11) |
310 | 2017-08 from 11 to 20 | L1_PCP_1723 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-08-11,2017-08-21) |
311 | 2017-08 from 21 to 31 | L1_PCP_1724 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-08-21,2017-09-01) |
312 | 2017-09 from 01 to 10 | L1_PCP_1725 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-09-01,2017-09-11) |
313 | 2017-09 from 11 to 20 | L1_PCP_1726 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-09-11,2017-09-21) |
314 | 2017-09 from 21 to 30 | L1_PCP_1727 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-09-21,2017-10-01) |
315 | 2017-10 from 01 to 10 | L1_PCP_1728 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-10-01,2017-10-11) |
316 | 2017-10 from 11 to 20 | L1_PCP_1729 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-10-11,2017-10-21) |
317 | 2017-10 from 21 to 31 | L1_PCP_1730 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-10-21,2017-11-01) |
318 | 2017-11 from 01 to 10 | L1_PCP_1731 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-11-01,2017-11-11) |
319 | 2017-11 from 11 to 20 | L1_PCP_1732 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-11-11,2017-11-21) |
320 | 2017-11 from 21 to 30 | L1_PCP_1733 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-11-21,2017-12-01) |
321 | 2017-12 from 01 to 10 | L1_PCP_1734 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-12-01,2017-12-11) |
322 | 2017-12 from 11 to 20 | L1_PCP_1735 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-12-11,2017-12-21) |
323 | 2017-12 from 21 to 31 | L1_PCP_1736 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2017-12-21,2018-01-01) |
324 | 2018-01 from 01 to 10 | L1_PCP_1801 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-01-01,2018-01-11) |
325 | 2018-01 from 11 to 20 | L1_PCP_1802 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-01-11,2018-01-21) |
326 | 2018-01 from 21 to 31 | L1_PCP_1803 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-01-21,2018-02-01) |
327 | 2018-02 from 01 to 10 | L1_PCP_1804 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-02-01,2018-02-11) |
328 | 2018-02 from 11 to 20 | L1_PCP_1805 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-02-11,2018-02-21) |
329 | 2018-02 from 21 to 28 | L1_PCP_1806 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-02-21,2018-03-01) |
330 | 2018-03 from 01 to 10 | L1_PCP_1807 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-03-01,2018-03-11) |
331 | 2018-03 from 11 to 20 | L1_PCP_1808 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-03-11,2018-03-21) |
332 | 2018-03 from 21 to 31 | L1_PCP_1809 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-03-21,2018-04-01) |
333 | 2018-04 from 01 to 10 | L1_PCP_1810 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-04-01,2018-04-11) |
334 | 2018-04 from 11 to 20 | L1_PCP_1811 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-04-11,2018-04-21) |
335 | 2018-04 from 21 to 30 | L1_PCP_1812 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-04-21,2018-05-01) |
336 | 2018-05 from 01 to 10 | L1_PCP_1813 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-05-01,2018-05-11) |
337 | 2018-05 from 11 to 20 | L1_PCP_1814 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-05-11,2018-05-21) |
338 | 2018-05 from 21 to 31 | L1_PCP_1815 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-05-21,2018-06-01) |
339 | 2018-06 from 01 to 10 | L1_PCP_1816 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-06-01,2018-06-11) |
340 | 2018-06 from 11 to 20 | L1_PCP_1817 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-06-11,2018-06-21) |
341 | 2018-06 from 21 to 30 | L1_PCP_1818 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-06-21,2018-07-01) |
342 | 2018-07 from 01 to 10 | L1_PCP_1819 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-07-01,2018-07-11) |
343 | 2018-07 from 11 to 20 | L1_PCP_1820 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-07-11,2018-07-21) |
344 | 2018-07 from 21 to 31 | L1_PCP_1821 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-07-21,2018-08-01) |
345 | 2018-08 from 01 to 10 | L1_PCP_1822 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-08-01,2018-08-11) |
346 | 2018-08 from 11 to 20 | L1_PCP_1823 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-08-11,2018-08-21) |
347 | 2018-08 from 21 to 31 | L1_PCP_1824 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-08-21,2018-09-01) |
348 | 2018-09 from 01 to 10 | L1_PCP_1825 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-09-01,2018-09-11) |
349 | 2018-09 from 11 to 20 | L1_PCP_1826 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-09-11,2018-09-21) |
350 | 2018-09 from 21 to 30 | L1_PCP_1827 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-09-21,2018-10-01) |
351 | 2018-10 from 01 to 10 | L1_PCP_1828 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-10-01,2018-10-11) |
352 | 2018-10 from 11 to 20 | L1_PCP_1829 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-10-11,2018-10-21) |
353 | 2018-10 from 21 to 31 | L1_PCP_1830 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-10-21,2018-11-01) |
354 | 2018-11 from 01 to 10 | L1_PCP_1831 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-11-01,2018-11-11) |
355 | 2018-11 from 11 to 20 | L1_PCP_1832 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-11-11,2018-11-21) |
356 | 2018-11 from 21 to 30 | L1_PCP_1833 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-11-21,2018-12-01) |
357 | 2018-12 from 01 to 10 | L1_PCP_1834 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-12-01,2018-12-11) |
358 | 2018-12 from 11 to 20 | L1_PCP_1835 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-12-11,2018-12-21) |
359 | 2018-12 from 21 to 31 | L1_PCP_1836 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2018-12-21,2019-01-01) |
360 | 2019-01 from 01 to 10 | L1_PCP_1901 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-01-01,2019-01-11) |
361 | 2019-01 from 11 to 20 | L1_PCP_1902 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-01-11,2019-01-21) |
362 | 2019-01 from 21 to 31 | L1_PCP_1903 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-01-21,2019-02-01) |
363 | 2019-02 from 01 to 10 | L1_PCP_1904 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-02-01,2019-02-11) |
364 | 2019-02 from 11 to 20 | L1_PCP_1905 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-02-11,2019-02-21) |
365 | 2019-02 from 21 to 28 | L1_PCP_1906 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-02-21,2019-03-01) |
366 | 2019-03 from 01 to 10 | L1_PCP_1907 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-03-01,2019-03-11) |
367 | 2019-03 from 11 to 20 | L1_PCP_1908 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-03-11,2019-03-21) |
368 | 2019-03 from 21 to 31 | L1_PCP_1909 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-03-21,2019-04-01) |
369 | 2019-04 from 01 to 10 | L1_PCP_1910 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-04-01,2019-04-11) |
370 | 2019-04 from 11 to 20 | L1_PCP_1911 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-04-11,2019-04-21) |
371 | 2019-04 from 21 to 30 | L1_PCP_1912 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-04-21,2019-05-01) |
372 | 2019-05 from 01 to 10 | L1_PCP_1913 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-05-01,2019-05-11) |
373 | 2019-05 from 11 to 20 | L1_PCP_1914 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-05-11,2019-05-21) |
374 | 2019-05 from 21 to 31 | L1_PCP_1915 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-05-21,2019-06-01) |
375 | 2019-06 from 01 to 10 | L1_PCP_1916 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-06-01,2019-06-11) |
376 | 2019-06 from 11 to 20 | L1_PCP_1917 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-06-11,2019-06-21) |
377 | 2019-06 from 21 to 30 | L1_PCP_1918 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-06-21,2019-07-01) |
378 | 2019-07 from 01 to 10 | L1_PCP_1919 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-07-01,2019-07-11) |
379 | 2019-07 from 11 to 20 | L1_PCP_1920 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-07-11,2019-07-21) |
380 | 2019-07 from 21 to 31 | L1_PCP_1921 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-07-21,2019-08-01) |
381 | 2019-08 from 01 to 10 | L1_PCP_1922 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-08-01,2019-08-11) |
382 | 2019-08 from 11 to 20 | L1_PCP_1923 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-08-11,2019-08-21) |
383 | 2019-08 from 21 to 31 | L1_PCP_1924 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-08-21,2019-09-01) |
384 | 2019-09 from 01 to 10 | L1_PCP_1925 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-09-01,2019-09-11) |
385 | 2019-09 from 11 to 20 | L1_PCP_1926 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-09-11,2019-09-21) |
386 | 2019-09 from 21 to 30 | L1_PCP_1927 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-09-21,2019-10-01) |
387 | 2019-10 from 01 to 10 | L1_PCP_1928 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-10-01,2019-10-11) |
388 | 2019-10 from 11 to 20 | L1_PCP_1929 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-10-11,2019-10-21) |
389 | 2019-10 from 21 to 31 | L1_PCP_1930 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-10-21,2019-11-01) |
390 | 2019-11 from 01 to 10 | L1_PCP_1931 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-11-01,2019-11-11) |
391 | 2019-11 from 11 to 20 | L1_PCP_1932 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-11-11,2019-11-21) |
392 | 2019-11 from 21 to 30 | L1_PCP_1933 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-11-21,2019-12-01) |
393 | 2019-12 from 01 to 10 | L1_PCP_1934 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-12-01,2019-12-11) |
394 | 2019-12 from 11 to 20 | L1_PCP_1935 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-12-11,2019-12-21) |
395 | 2019-12 from 21 to 31 | L1_PCP_1936 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2019-12-21,2020-01-01) |
396 | 2020-01 from 01 to 10 | L1_PCP_2001 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-01-01,2020-01-11) |
397 | 2020-01 from 11 to 20 | L1_PCP_2002 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-01-11,2020-01-21) |
398 | 2020-01 from 21 to 31 | L1_PCP_2003 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-01-21,2020-02-01) |
399 | 2020-02 from 01 to 10 | L1_PCP_2004 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-02-01,2020-02-11) |
400 | 2020-02 from 11 to 20 | L1_PCP_2005 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-02-11,2020-02-21) |
401 | 2020-02 from 21 to 29 | L1_PCP_2006 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-02-21,2020-03-01) |
402 | 2020-03 from 01 to 10 | L1_PCP_2007 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-03-01,2020-03-11) |
403 | 2020-03 from 11 to 20 | L1_PCP_2008 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-03-11,2020-03-21) |
404 | 2020-03 from 21 to 31 | L1_PCP_2009 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-03-21,2020-04-01) |
405 | 2020-04 from 01 to 10 | L1_PCP_2010 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-04-01,2020-04-11) |
406 | 2020-04 from 11 to 20 | L1_PCP_2011 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-04-11,2020-04-21) |
407 | 2020-04 from 21 to 30 | L1_PCP_2012 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-04-21,2020-05-01) |
408 | 2020-05 from 01 to 10 | L1_PCP_2013 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-05-01,2020-05-11) |
409 | 2020-05 from 11 to 20 | L1_PCP_2014 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-05-11,2020-05-21) |
410 | 2020-05 from 21 to 31 | L1_PCP_2015 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-05-21,2020-06-01) |
411 | 2020-06 from 01 to 10 | L1_PCP_2016 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-06-01,2020-06-11) |
412 | 2020-06 from 11 to 20 | L1_PCP_2017 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-06-11,2020-06-21) |
413 | 2020-06 from 21 to 30 | L1_PCP_2018 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-06-21,2020-07-01) |
414 | 2020-07 from 01 to 10 | L1_PCP_2019 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-07-01,2020-07-11) |
415 | 2020-07 from 11 to 20 | L1_PCP_2020 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-07-11,2020-07-21) |
416 | 2020-07 from 21 to 31 | L1_PCP_2021 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-07-21,2020-08-01) |
417 | 2020-08 from 01 to 10 | L1_PCP_2022 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-08-01,2020-08-11) |
418 | 2020-08 from 11 to 20 | L1_PCP_2023 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-08-11,2020-08-21) |
419 | 2020-08 from 21 to 31 | L1_PCP_2024 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-08-21,2020-09-01) |
420 | 2020-09 from 01 to 10 | L1_PCP_2025 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-09-01,2020-09-11) |
421 | 2020-09 from 11 to 20 | L1_PCP_2026 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-09-11,2020-09-21) |
422 | 2020-09 from 21 to 30 | L1_PCP_2027 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-09-21,2020-10-01) |
423 | 2020-10 from 01 to 10 | L1_PCP_2028 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-10-01,2020-10-11) |
424 | 2020-10 from 11 to 20 | L1_PCP_2029 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-10-11,2020-10-21) |
425 | 2020-10 from 21 to 31 | L1_PCP_2030 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-10-21,2020-11-01) |
426 | 2020-11 from 01 to 10 | L1_PCP_2031 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-11-01,2020-11-11) |
427 | 2020-11 from 11 to 20 | L1_PCP_2032 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-11-11,2020-11-21) |
428 | 2020-11 from 21 to 30 | L1_PCP_2033 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-11-21,2020-12-01) |
429 | 2020-12 from 01 to 10 | L1_PCP_2034 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-12-01,2020-12-11) |
430 | 2020-12 from 11 to 20 | L1_PCP_2035 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-12-11,2020-12-21) |
431 | 2020-12 from 21 to 31 | L1_PCP_2036 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2020-12-21,2021-01-01) |
432 | 2021-01 from 01 to 10 | L1_PCP_2101 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-01-01,2021-01-11) |
433 | 2021-01 from 11 to 20 | L1_PCP_2102 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-01-11,2021-01-21) |
434 | 2021-01 from 21 to 31 | L1_PCP_2103 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-01-21,2021-02-01) |
435 | 2021-02 from 01 to 10 | L1_PCP_2104 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-02-01,2021-02-11) |
436 | 2021-02 from 11 to 20 | L1_PCP_2105 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-02-11,2021-02-21) |
437 | 2021-02 from 21 to 28 | L1_PCP_2106 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-02-21,2021-03-01) |
438 | 2021-03 from 01 to 10 | L1_PCP_2107 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-03-01,2021-03-11) |
439 | 2021-03 from 11 to 20 | L1_PCP_2108 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-03-11,2021-03-21) |
440 | 2021-03 from 21 to 31 | L1_PCP_2109 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-03-21,2021-04-01) |
441 | 2021-04 from 01 to 10 | L1_PCP_2110 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-04-01,2021-04-11) |
442 | 2021-04 from 11 to 20 | L1_PCP_2111 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-04-11,2021-04-21) |
443 | 2021-04 from 21 to 30 | L1_PCP_2112 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-04-21,2021-05-01) |
444 | 2021-05 from 01 to 10 | L1_PCP_2113 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-05-01,2021-05-11) |
445 | 2021-05 from 11 to 20 | L1_PCP_2114 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-05-11,2021-05-21) |
446 | 2021-05 from 21 to 31 | L1_PCP_2115 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-05-21,2021-06-01) |
447 | 2021-06 from 01 to 10 | L1_PCP_2116 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-06-01,2021-06-11) |
448 | 2021-06 from 11 to 20 | L1_PCP_2117 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-06-11,2021-06-21) |
449 | 2021-06 from 21 to 30 | L1_PCP_2118 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-06-21,2021-07-01) |
450 | 2021-07 from 01 to 10 | L1_PCP_2119 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-07-01,2021-07-11) |
451 | 2021-07 from 11 to 20 | L1_PCP_2120 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-07-11,2021-07-21) |
452 | 2021-07 from 21 to 31 | L1_PCP_2121 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-07-21,2021-08-01) |
453 | 2021-08 from 01 to 10 | L1_PCP_2122 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-08-01,2021-08-11) |
454 | 2021-08 from 11 to 20 | L1_PCP_2123 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-08-11,2021-08-21) |
455 | 2021-08 from 21 to 31 | L1_PCP_2124 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-08-21,2021-09-01) |
456 | 2021-09 from 01 to 10 | L1_PCP_2125 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-09-01,2021-09-11) |
457 | 2021-09 from 11 to 20 | L1_PCP_2126 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-09-11,2021-09-21) |
458 | 2021-09 from 21 to 30 | L1_PCP_2127 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-09-21,2021-10-01) |
459 | 2021-10 from 01 to 10 | L1_PCP_2128 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-10-01,2021-10-11) |
460 | 2021-10 from 11 to 20 | L1_PCP_2129 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-10-11,2021-10-21) |
461 | 2021-10 from 21 to 31 | L1_PCP_2130 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-10-21,2021-11-01) |
462 | 2021-11 from 01 to 10 | L1_PCP_2131 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-11-01,2021-11-11) |
463 | 2021-11 from 11 to 20 | L1_PCP_2132 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-11-11,2021-11-21) |
464 | 2021-11 from 21 to 30 | L1_PCP_2133 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-11-21,2021-12-01) |
465 | 2021-12 from 01 to 10 | L1_PCP_2134 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-12-01,2021-12-11) |
466 | 2021-12 from 11 to 20 | L1_PCP_2135 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-12-11,2021-12-21) |
467 | 2021-12 from 21 to 31 | L1_PCP_2136 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2021-12-21,2022-01-01) |
468 | 2022-01 from 01 to 10 | L1_PCP_2201 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-01-01,2022-01-11) |
469 | 2022-01 from 11 to 20 | L1_PCP_2202 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-01-11,2022-01-21) |
470 | 2022-01 from 21 to 31 | L1_PCP_2203 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-01-21,2022-02-01) |
471 | 2022-02 from 01 to 10 | L1_PCP_2204 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-02-01,2022-02-11) |
472 | 2022-02 from 11 to 20 | L1_PCP_2205 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-02-11,2022-02-21) |
473 | 2022-02 from 21 to 28 | L1_PCP_2206 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-02-21,2022-03-01) |
474 | 2022-03 from 01 to 10 | L1_PCP_2207 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-03-01,2022-03-11) |
475 | 2022-03 from 11 to 20 | L1_PCP_2208 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-03-11,2022-03-21) |
476 | 2022-03 from 21 to 31 | L1_PCP_2209 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-03-21,2022-04-01) |
477 | 2022-04 from 01 to 10 | L1_PCP_2210 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-04-01,2022-04-11) |
478 | 2022-04 from 11 to 20 | L1_PCP_2211 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-04-11,2022-04-21) |
479 | 2022-04 from 21 to 30 | L1_PCP_2212 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-04-21,2022-05-01) |
480 | 2022-05 from 01 to 10 | L1_PCP_2213 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-05-01,2022-05-11) |
481 | 2022-05 from 11 to 20 | L1_PCP_2214 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-05-11,2022-05-21) |
482 | 2022-05 from 21 to 31 | L1_PCP_2215 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-05-21,2022-06-01) |
483 | 2022-06 from 01 to 10 | L1_PCP_2216 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-06-01,2022-06-11) |
484 | 2022-06 from 11 to 20 | L1_PCP_2217 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-06-11,2022-06-21) |
485 | 2022-06 from 21 to 30 | L1_PCP_2218 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-06-21,2022-07-01) |
486 | 2022-07 from 01 to 10 | L1_PCP_2219 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-07-01,2022-07-11) |
487 | 2022-07 from 11 to 20 | L1_PCP_2220 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-07-11,2022-07-21) |
488 | 2022-07 from 21 to 31 | L1_PCP_2221 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-07-21,2022-08-01) |
489 | 2022-08 from 01 to 10 | L1_PCP_2222 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-08-01,2022-08-11) |
490 | 2022-08 from 11 to 20 | L1_PCP_2223 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-08-11,2022-08-21) |
491 | 2022-08 from 21 to 31 | L1_PCP_2224 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-08-21,2022-09-01) |
492 | 2022-09 from 01 to 10 | L1_PCP_2225 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-09-01,2022-09-11) |
493 | 2022-09 from 11 to 20 | L1_PCP_2226 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-09-11,2022-09-21) |
494 | 2022-09 from 21 to 30 | L1_PCP_2227 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-09-21,2022-10-01) |
495 | 2022-10 from 01 to 10 | L1_PCP_2228 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-10-01,2022-10-11) |
496 | 2022-10 from 11 to 20 | L1_PCP_2229 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-10-11,2022-10-21) |
497 | 2022-10 from 21 to 31 | L1_PCP_2230 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-10-21,2022-11-01) |
498 | 2022-11 from 01 to 10 | L1_PCP_2231 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-11-01,2022-11-11) |
499 | 2022-11 from 11 to 20 | L1_PCP_2232 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-11-11,2022-11-21) |
500 | 2022-11 from 21 to 30 | L1_PCP_2233 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-11-21,2022-12-01) |
501 | 2022-12 from 01 to 10 | L1_PCP_2234 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-12-01,2022-12-11) |
502 | 2022-12 from 11 to 20 | L1_PCP_2235 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-12-11,2022-12-21) |
503 | 2022-12 from 21 to 31 | L1_PCP_2236 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2022-12-21,2023-01-01) |
504 | 2023-01 from 01 to 10 | L1_PCP_2301 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-01-01,2023-01-11) |
505 | 2023-01 from 11 to 20 | L1_PCP_2302 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-01-11,2023-01-21) |
506 | 2023-01 from 21 to 31 | L1_PCP_2303 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-01-21,2023-02-01) |
507 | 2023-02 from 01 to 10 | L1_PCP_2304 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-02-01,2023-02-11) |
508 | 2023-02 from 11 to 20 | L1_PCP_2305 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-02-11,2023-02-21) |
509 | 2023-02 from 21 to 28 | L1_PCP_2306 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-02-21,2023-03-01) |
510 | 2023-03 from 01 to 10 | L1_PCP_2307 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-03-01,2023-03-11) |
511 | 2023-03 from 11 to 20 | L1_PCP_2308 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-03-11,2023-03-21) |
512 | 2023-03 from 21 to 31 | L1_PCP_2309 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-03-21,2023-04-01) |
513 | 2023-04 from 01 to 10 | L1_PCP_2310 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-04-01,2023-04-11) |
514 | 2023-04 from 11 to 20 | L1_PCP_2311 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-04-11,2023-04-21) |
515 | 2023-04 from 21 to 30 | L1_PCP_2312 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-04-21,2023-05-01) |
516 | 2023-05 from 01 to 10 | L1_PCP_2313 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-05-01,2023-05-11) |
517 | 2023-05 from 11 to 20 | L1_PCP_2314 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-05-11,2023-05-21) |
518 | 2023-05 from 21 to 31 | L1_PCP_2315 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-05-21,2023-06-01) |
519 | 2023-06 from 01 to 10 | L1_PCP_2316 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-06-01,2023-06-11) |
520 | 2023-06 from 11 to 20 | L1_PCP_2317 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-06-11,2023-06-21) |
521 | 2023-06 from 21 to 30 | L1_PCP_2318 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-06-21,2023-07-01) |
522 | 2023-07 from 01 to 10 | L1_PCP_2319 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-07-01,2023-07-11) |
523 | 2023-07 from 21 to 31 | L1_PCP_2321 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-07-21,2023-08-01) |
524 | 2023-08 from 01 to 10 | L1_PCP_2322 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-08-01,2023-08-11) |
525 | 2023-08 from 11 to 20 | L1_PCP_2323 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-08-11,2023-08-21) |
526 | 2023-08 from 21 to 31 | L1_PCP_2324 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-08-21,2023-09-01) |
527 | 2023-09 from 01 to 10 | L1_PCP_2325 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-09-01,2023-09-11) |
528 | 2023-09 from 21 to 30 | L1_PCP_2327 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-09-21,2023-10-01) |
529 | 2023-10 from 01 to 10 | L1_PCP_2328 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-10-01,2023-10-11) |
530 | 2023-10 from 21 to 31 | L1_PCP_2330 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-10-21,2023-11-01) |
531 | 2023-11 from 01 to 10 | L1_PCP_2331 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-11-01,2023-11-11) |
532 | 2023-11 from 11 to 20 | L1_PCP_2332 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-11-11,2023-11-21) |
533 | 2023-11 from 21 to 30 | L1_PCP_2333 | [{'srid': 'EPSG:4326', 'value': [-179.95, -60.0, 179.95, 60.0]}] | [2023-11-21,2023-12-01) |
APIToken=input('Enter your API Token: ')
WaPOR.API.Token=APIToken
To request a cropped raster, raster_id and time_code of the raster is needed
work_dir = os.getcwd()+'/WaPOR_Data/PCP'
print("current dir is: %s" % (os.getcwd()))
print("current working directory is:",work_dir)
if os.path.isdir(work_dir):
print("Folder exists")
else:
print("Folder doesn't exists")
os.makedirs(work_dir, exist_ok=True)
current dir is: /home/eoafrica/surface_flood current working directory is: /home/eoafrica/surface_flood/WaPOR_Data/PCP Folder exists
cd_folder = os.getcwd() #check current directory folder
print(cd_folder)
/home/eoafrica/surface_flood
shp_fh=(cd_folder)+'/Modules/Data/1Boundary/Shapefile/buzi.shp' #path to, and the shapefile of study area
shape=shapefile.Reader(shp_fh) #read shapefile
xmin,ymin,xmax,ymax=shape.bbox #read shapefile extent
print('Extent of study area: lonlim = [{0},{2}], latlim = [{1},{3}]'.format(xmin,ymin,xmax,ymax))
Extent of study area: lonlim = [32.378813340928836,34.758333333333354], latlim = [-20.941666666666638,-18.699999999999974]
#plot to check shapefile
plt.figure()
sf=shape
for shape in sf.shapeRecords(): #loop over all features in shapefile
for i in range(len(shape.shape.parts)): #loop over all points in feature
i_start = shape.shape.parts[i]
if i==len(shape.shape.parts)-1:
i_end = len(shape.shape.points)
else:
i_end = shape.shape.parts[i+1]
x = [i[0] for i in shape.shape.points[i_start:i_end]]
y = [i[1] for i in shape.shape.points[i_start:i_end]]
plt.plot(x,y)
plt.show()
Create download link for a selected dekadal rainfall map for area specified
bbox= [xmin,ymin,xmax,ymax]
rasterId='L1_PCP_2236'
dimension_value='[2022-12-21,2023-01-01)'
WaPOR.API.getCropRasterURL(bbox,cube_code,dimension_value,rasterId,APIToken)
'https://io.apps.fao.org/gismgr/download/b4e381a6-062d-4711-bac2-7d6cb82a363a/L1_PCP_2236.tif'
A shapefile can be used to define the Region of Interest
ts_area=WaPOR.API.getAreaTimeseries(shp_fh,'L1_PCP_D',APIToken, time_range='2009-01-01,2022-12-31')
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)
display (ts_area)
Getting result from: https://io.apps.fao.org/gismgr/api/v1/catalog/workspaces/WAPOR_2/jobs/0b243c2c-09e4-46cc-ac2c-107818a21857
dekad | avg | min | max | range | |
---|---|---|---|---|---|
0 | 2009-01-10 | 13.895838 | 4.1 | 25.3 | 21.2 |
1 | 2009-01-20 | 8.513909 | 2.7 | 13.3 | 10.6 |
2 | 2009-01-31 | 1.937766 | 0.0 | 4.4 | 4.4 |
3 | 2009-02-10 | 1.019898 | 0.0 | 5.7 | 5.7 |
4 | 2009-02-20 | 4.058274 | 0.0 | 7.9 | 7.9 |
5 | 2009-02-28 | 16.224873 | 6.9 | 25.3 | 18.4 |
6 | 2009-03-10 | 3.571066 | 0.0 | 10.2 | 10.2 |
7 | 2009-03-20 | 7.199492 | 0.0 | 15.6 | 15.6 |
8 | 2009-03-31 | 7.267005 | 0.0 | 14.9 | 14.9 |
9 | 2009-04-10 | 2.495533 | 0.5 | 5.2 | 4.7 |
10 | 2009-04-20 | 1.531878 | 0.3 | 3.2 | 2.9 |
11 | 2009-04-30 | 2.031675 | 0.9 | 3.6 | 2.7 |
12 | 2009-05-10 | 2.020609 | 0.0 | 5.3 | 5.3 |
13 | 2009-05-20 | 0.089137 | 0.0 | 1.4 | 1.4 |
14 | 2009-05-31 | 0.073096 | 0.0 | 2.6 | 2.6 |
15 | 2009-06-10 | 1.540609 | 0.0 | 3.6 | 3.6 |
16 | 2009-06-20 | 0.558071 | 0.0 | 2.6 | 2.6 |
17 | 2009-06-30 | 0.369239 | 0.0 | 2.2 | 2.2 |
18 | 2009-07-10 | 1.224975 | 0.0 | 3.2 | 3.2 |
19 | 2009-07-20 | 0.834822 | 0.0 | 1.7 | 1.7 |
20 | 2009-07-31 | 0.786193 | 0.0 | 2.5 | 2.5 |
21 | 2009-08-10 | 0.113807 | 0.0 | 1.0 | 1.0 |
22 | 2009-08-20 | 0.615939 | 0.0 | 2.6 | 2.6 |
23 | 2009-08-31 | 0.640000 | 0.0 | 1.8 | 1.8 |
24 | 2009-09-10 | 0.021421 | 0.0 | 0.8 | 0.8 |
25 | 2009-09-20 | 0.559898 | 0.0 | 2.5 | 2.5 |
26 | 2009-09-30 | 3.174010 | 1.0 | 5.6 | 4.6 |
27 | 2009-10-10 | 0.474112 | 0.0 | 3.5 | 3.5 |
28 | 2009-10-20 | 0.237157 | 0.0 | 1.6 | 1.6 |
29 | 2009-10-31 | 1.373909 | 0.0 | 4.5 | 4.5 |
30 | 2009-11-10 | 2.031574 | 0.0 | 5.9 | 5.9 |
31 | 2009-11-20 | 9.900305 | 5.4 | 16.7 | 11.3 |
32 | 2009-11-30 | 1.585584 | 0.0 | 8.3 | 8.3 |
33 | 2009-12-10 | 9.956751 | 3.7 | 19.2 | 15.5 |
34 | 2009-12-20 | 6.939492 | 2.4 | 19.9 | 17.5 |
35 | 2009-12-31 | 0.786294 | 0.0 | 3.7 | 3.7 |
36 | 2010-01-10 | 0.481218 | 0.0 | 1.5 | 1.5 |
37 | 2010-01-20 | 0.417868 | 0.0 | 1.6 | 1.6 |
38 | 2010-01-31 | 6.562335 | 1.8 | 10.9 | 9.1 |
39 | 2010-02-10 | 1.264670 | 0.0 | 3.0 | 3.0 |
40 | 2010-02-20 | 8.777970 | 3.7 | 15.9 | 12.2 |
41 | 2010-02-28 | 11.721624 | 1.9 | 24.2 | 22.3 |
42 | 2010-03-10 | 4.571980 | 0.0 | 11.1 | 11.1 |
43 | 2010-03-20 | 1.865888 | 0.0 | 9.0 | 9.0 |
44 | 2010-03-31 | 0.411371 | 0.0 | 4.6 | 4.6 |
45 | 2010-04-10 | 6.230457 | 0.0 | 14.0 | 14.0 |
46 | 2010-04-20 | 3.324670 | 0.0 | 17.7 | 17.7 |
47 | 2010-04-30 | 0.055127 | 0.0 | 2.4 | 2.4 |
48 | 2010-05-10 | 0.888020 | 0.0 | 5.4 | 5.4 |
49 | 2010-05-20 | 0.439289 | 0.0 | 3.2 | 3.2 |
50 | 2010-05-31 | 1.311066 | 0.0 | 4.4 | 4.4 |
51 | 2010-06-10 | 0.135431 | 0.0 | 1.4 | 1.4 |
52 | 2010-06-20 | 0.614010 | 0.0 | 1.6 | 1.6 |
53 | 2010-06-30 | 0.831878 | 0.0 | 2.3 | 2.3 |
54 | 2010-07-10 | 0.493807 | 0.0 | 1.3 | 1.3 |
55 | 2010-07-20 | 0.150558 | 0.0 | 1.1 | 1.1 |
56 | 2010-07-31 | 1.160914 | 0.0 | 3.0 | 3.0 |
57 | 2010-08-10 | 0.514518 | 0.0 | 1.8 | 1.8 |
58 | 2010-08-20 | 0.245178 | 0.0 | 1.4 | 1.4 |
59 | 2010-08-31 | 0.336751 | 0.0 | 1.1 | 1.1 |
60 | 2010-09-10 | 0.355838 | 0.0 | 1.2 | 1.2 |
61 | 2010-09-20 | 0.703655 | 0.0 | 1.3 | 1.3 |
62 | 2010-09-30 | 0.766599 | 0.0 | 1.6 | 1.6 |
63 | 2010-10-10 | 0.004264 | 0.0 | 0.5 | 0.5 |
64 | 2010-10-20 | 0.544569 | 0.0 | 2.3 | 2.3 |
65 | 2010-10-31 | 0.773096 | 0.0 | 2.7 | 2.7 |
66 | 2010-11-10 | 3.737360 | 0.0 | 9.1 | 9.1 |
67 | 2010-11-20 | 1.103858 | 0.0 | 3.9 | 3.9 |
68 | 2010-11-30 | 3.381624 | 0.0 | 7.6 | 7.6 |
69 | 2010-12-10 | 11.018883 | 4.7 | 26.2 | 21.5 |
70 | 2010-12-20 | 9.257868 | 0.5 | 21.9 | 21.4 |
71 | 2010-12-31 | 4.070863 | 1.3 | 9.8 | 8.5 |
72 | 2011-01-10 | 11.631980 | 6.0 | 20.2 | 14.2 |
73 | 2011-01-20 | 24.634822 | 10.9 | 37.9 | 27.0 |
74 | 2011-01-31 | 16.095127 | 2.5 | 27.0 | 24.5 |
75 | 2011-02-10 | 2.069949 | 0.0 | 4.2 | 4.2 |
76 | 2011-02-20 | 0.887107 | 0.0 | 2.6 | 2.6 |
77 | 2011-02-28 | 1.617462 | 0.0 | 7.2 | 7.2 |
78 | 2011-03-10 | 0.480406 | 0.0 | 10.6 | 10.6 |
79 | 2011-03-20 | 4.120000 | 0.0 | 9.6 | 9.6 |
80 | 2011-03-31 | 1.570964 | 0.0 | 7.7 | 7.7 |
81 | 2011-04-10 | 1.028934 | 0.0 | 18.7 | 18.7 |
82 | 2011-04-20 | 0.073401 | 0.0 | 0.8 | 0.8 |
83 | 2011-04-30 | 3.743147 | 0.0 | 7.8 | 7.8 |
84 | 2011-05-10 | 0.301827 | 0.0 | 1.7 | 1.7 |
85 | 2011-05-20 | 0.702843 | 0.0 | 2.9 | 2.9 |
86 | 2011-05-31 | 0.159391 | 0.0 | 1.5 | 1.5 |
87 | 2011-06-10 | 0.710761 | 0.0 | 1.6 | 1.6 |
88 | 2011-06-20 | 0.445076 | 0.0 | 1.7 | 1.7 |
89 | 2011-06-30 | 0.232995 | 0.0 | 1.4 | 1.4 |
90 | 2011-07-10 | 0.748020 | 0.0 | 2.0 | 2.0 |
91 | 2011-07-20 | 1.208426 | 0.0 | 2.6 | 2.6 |
92 | 2011-07-31 | 0.078985 | 0.0 | 1.3 | 1.3 |
93 | 2011-08-10 | 0.030558 | 0.0 | 1.1 | 1.1 |
94 | 2011-08-20 | 0.803553 | 0.0 | 2.4 | 2.4 |
95 | 2011-08-31 | 0.425990 | 0.0 | 1.1 | 1.1 |
96 | 2011-09-10 | 0.000000 | 0.0 | 0.0 | 0.0 |
97 | 2011-09-20 | 0.557360 | 0.0 | 2.2 | 2.2 |
98 | 2011-09-30 | 0.838680 | 0.0 | 2.4 | 2.4 |
99 | 2011-10-10 | 2.056041 | 0.0 | 4.9 | 4.9 |
100 | 2011-10-20 | 1.010152 | 0.0 | 2.7 | 2.7 |
101 | 2011-10-31 | 0.883959 | 0.0 | 3.8 | 3.8 |
102 | 2011-11-10 | 0.963147 | 0.0 | 5.9 | 5.9 |
103 | 2011-11-20 | 1.270761 | 0.0 | 3.7 | 3.7 |
104 | 2011-11-30 | 7.208629 | 3.8 | 14.2 | 10.4 |
105 | 2011-12-10 | 2.654924 | 0.8 | 8.5 | 7.7 |
106 | 2011-12-20 | 11.804467 | 7.0 | 26.4 | 19.4 |
107 | 2011-12-31 | 5.518071 | 1.6 | 14.0 | 12.4 |
108 | 2012-01-10 | 0.021523 | 0.0 | 1.4 | 1.4 |
109 | 2012-01-20 | 8.333198 | 3.1 | 18.4 | 15.3 |
110 | 2012-01-31 | 1.905990 | 0.0 | 11.5 | 11.5 |
111 | 2012-02-10 | 1.575127 | 0.0 | 5.4 | 5.4 |
112 | 2012-02-20 | 8.719898 | 2.5 | 16.1 | 13.6 |
113 | 2012-02-29 | 0.982335 | 0.0 | 2.8 | 2.8 |
114 | 2012-03-10 | 3.401421 | 1.2 | 6.4 | 5.2 |
115 | 2012-03-20 | 3.015127 | 0.6 | 7.2 | 6.6 |
116 | 2012-03-31 | 4.726294 | 0.0 | 8.6 | 8.6 |
117 | 2012-04-10 | 3.153706 | 0.8 | 9.4 | 8.6 |
118 | 2012-04-20 | 1.198274 | 0.0 | 3.2 | 3.2 |
119 | 2012-04-30 | 0.707208 | 0.0 | 2.6 | 2.6 |
120 | 2012-05-10 | 0.070660 | 0.0 | 0.7 | 0.7 |
121 | 2012-05-20 | 0.049848 | 0.0 | 0.6 | 0.6 |
122 | 2012-05-31 | 0.870964 | 0.0 | 1.7 | 1.7 |
123 | 2012-06-10 | 0.375330 | 0.0 | 1.5 | 1.5 |
124 | 2012-06-20 | 0.420102 | 0.0 | 1.5 | 1.5 |
125 | 2012-06-30 | 0.394112 | 0.0 | 1.2 | 1.2 |
126 | 2012-07-10 | 0.201929 | 0.0 | 1.1 | 1.1 |
127 | 2012-07-20 | 0.265888 | 0.0 | 1.3 | 1.3 |
128 | 2012-07-31 | 0.823452 | 0.0 | 1.8 | 1.8 |
129 | 2012-08-10 | 0.487716 | 0.0 | 2.4 | 2.4 |
130 | 2012-08-20 | 0.280203 | 0.0 | 1.5 | 1.5 |
131 | 2012-08-31 | 0.432183 | 0.0 | 1.2 | 1.2 |
132 | 2012-09-10 | 0.228731 | 0.0 | 1.1 | 1.1 |
133 | 2012-09-20 | 1.080406 | 0.0 | 2.8 | 2.8 |
134 | 2012-09-30 | 0.913096 | 0.0 | 4.0 | 4.0 |
135 | 2012-10-10 | 0.000000 | 0.0 | 0.0 | 0.0 |
136 | 2012-10-20 | 1.944162 | 0.0 | 7.1 | 7.1 |
137 | 2012-10-31 | 2.525584 | 0.0 | 4.5 | 4.5 |
138 | 2012-11-10 | 0.300609 | 0.0 | 2.3 | 2.3 |
139 | 2012-11-20 | 0.102741 | 0.0 | 1.1 | 1.1 |
140 | 2012-11-30 | 2.170051 | 1.3 | 4.2 | 2.9 |
141 | 2012-12-10 | 7.048122 | 0.0 | 15.9 | 15.9 |
142 | 2012-12-20 | 1.250457 | 0.0 | 3.4 | 3.4 |
143 | 2012-12-31 | 5.734518 | 0.0 | 13.4 | 13.4 |
144 | 2013-01-10 | 15.799898 | 6.6 | 22.8 | 16.2 |
145 | 2013-01-20 | 20.035939 | 7.2 | 29.3 | 22.1 |
146 | 2013-01-31 | 3.268325 | 1.0 | 7.4 | 6.4 |
147 | 2013-02-10 | 3.107716 | 0.0 | 12.6 | 12.6 |
148 | 2013-02-20 | 7.422335 | 1.2 | 21.3 | 20.1 |
149 | 2013-02-28 | 0.012995 | 0.0 | 2.2 | 2.2 |
150 | 2013-03-10 | 6.940000 | 2.2 | 13.4 | 11.2 |
151 | 2013-03-20 | 0.724365 | 0.0 | 4.8 | 4.8 |
152 | 2013-03-31 | 0.021218 | 0.0 | 1.9 | 1.9 |
153 | 2013-04-10 | 0.237868 | 0.0 | 2.1 | 2.1 |
154 | 2013-04-20 | 0.394619 | 0.0 | 5.8 | 5.8 |
155 | 2013-04-30 | 4.498680 | 0.0 | 9.6 | 9.6 |
156 | 2013-05-10 | 0.243350 | 0.0 | 1.4 | 1.4 |
157 | 2013-05-20 | 1.603858 | 0.0 | 5.0 | 5.0 |
158 | 2013-05-31 | 0.715939 | 0.0 | 2.0 | 2.0 |
159 | 2013-06-10 | 0.196244 | 0.0 | 1.7 | 1.7 |
160 | 2013-06-20 | 0.735127 | 0.0 | 2.8 | 2.8 |
161 | 2013-06-30 | 0.648122 | 0.0 | 4.3 | 4.3 |
162 | 2013-07-10 | 0.659898 | 0.0 | 2.8 | 2.8 |
163 | 2013-07-20 | 0.733401 | 0.0 | 3.0 | 3.0 |
164 | 2013-07-31 | 1.106701 | 0.0 | 3.2 | 3.2 |
165 | 2013-08-10 | 0.383350 | 0.0 | 1.0 | 1.0 |
166 | 2013-08-20 | 0.575635 | 0.0 | 2.3 | 2.3 |
167 | 2013-08-31 | 0.503655 | 0.0 | 1.8 | 1.8 |
168 | 2013-09-10 | 0.262843 | 0.0 | 1.0 | 1.0 |
169 | 2013-09-20 | 0.165787 | 0.0 | 1.1 | 1.1 |
170 | 2013-09-30 | 2.017868 | 0.6 | 5.7 | 5.1 |
171 | 2013-10-10 | 0.149442 | 0.0 | 2.8 | 2.8 |
172 | 2013-10-20 | 0.031574 | 0.0 | 1.1 | 1.1 |
173 | 2013-10-31 | 4.370660 | 1.8 | 9.1 | 7.3 |
174 | 2013-11-10 | 3.099188 | 1.8 | 5.7 | 3.9 |
175 | 2013-11-20 | 2.329645 | 1.3 | 3.7 | 2.4 |
176 | 2013-11-30 | 2.860609 | 1.3 | 6.2 | 4.9 |
177 | 2013-12-10 | 0.142640 | 0.0 | 1.3 | 1.3 |
178 | 2013-12-20 | 11.049746 | 1.1 | 22.7 | 21.6 |
179 | 2013-12-31 | 8.407208 | 4.9 | 14.1 | 9.2 |
180 | 2014-01-10 | 9.349036 | 1.9 | 19.6 | 17.7 |
181 | 2014-01-20 | 1.001015 | 0.0 | 3.4 | 3.4 |
182 | 2014-01-31 | 20.372487 | 5.1 | 30.5 | 25.4 |
183 | 2014-02-10 | 9.115635 | 0.0 | 25.3 | 25.3 |
184 | 2014-02-20 | 2.657563 | 0.0 | 26.1 | 26.1 |
185 | 2014-02-28 | 2.084569 | 0.0 | 7.7 | 7.7 |
186 | 2014-03-10 | 10.348629 | 3.6 | 31.5 | 27.9 |
187 | 2014-03-20 | 3.036954 | 0.0 | 10.4 | 10.4 |
188 | 2014-03-31 | 0.644975 | 0.0 | 3.9 | 3.9 |
189 | 2014-04-10 | 0.200305 | 0.0 | 3.8 | 3.8 |
190 | 2014-04-20 | 0.006497 | 0.0 | 1.7 | 1.7 |
191 | 2014-04-30 | 8.236244 | 0.0 | 24.5 | 24.5 |
192 | 2014-05-10 | 0.790863 | 0.0 | 2.4 | 2.4 |
193 | 2014-05-20 | 0.431371 | 0.0 | 2.4 | 2.4 |
194 | 2014-05-31 | 0.905888 | 0.0 | 2.3 | 2.3 |
195 | 2014-06-10 | 0.795736 | 0.0 | 2.6 | 2.6 |
196 | 2014-06-20 | 0.919086 | 0.0 | 3.9 | 3.9 |
197 | 2014-06-30 | 0.473503 | 0.0 | 4.0 | 4.0 |
198 | 2014-07-10 | 0.177157 | 0.0 | 1.7 | 1.7 |
199 | 2014-07-20 | 1.186802 | 0.0 | 2.3 | 2.3 |
200 | 2014-07-31 | 0.692386 | 0.0 | 2.4 | 2.4 |
201 | 2014-08-10 | 0.308122 | 0.0 | 1.6 | 1.6 |
202 | 2014-08-20 | 0.138071 | 0.0 | 1.4 | 1.4 |
203 | 2014-08-31 | 0.776244 | 0.0 | 1.7 | 1.7 |
204 | 2014-09-10 | 0.542030 | 0.0 | 0.9 | 0.9 |
205 | 2014-09-20 | 0.489239 | 0.0 | 1.5 | 1.5 |
206 | 2014-09-30 | 0.352386 | 0.0 | 1.4 | 1.4 |
207 | 2014-10-10 | 0.291168 | 0.0 | 2.5 | 2.5 |
208 | 2014-10-20 | 0.959188 | 0.0 | 3.7 | 3.7 |
209 | 2014-10-31 | 0.089036 | 0.0 | 0.5 | 0.5 |
210 | 2014-11-10 | 1.774416 | 0.0 | 4.6 | 4.6 |
211 | 2014-11-20 | 4.446802 | 0.0 | 7.9 | 7.9 |
212 | 2014-11-30 | 0.049239 | 0.0 | 0.9 | 0.9 |
213 | 2014-12-10 | 2.256954 | 0.0 | 5.2 | 5.2 |
214 | 2014-12-20 | 13.918274 | 6.7 | 31.2 | 24.5 |
215 | 2014-12-31 | 14.557360 | 6.0 | 28.7 | 22.7 |
216 | 2015-01-10 | 0.414112 | 0.0 | 5.0 | 5.0 |
217 | 2015-01-20 | 1.904264 | 0.0 | 6.8 | 6.8 |
218 | 2015-01-31 | 6.728325 | 0.0 | 12.2 | 12.2 |
219 | 2015-02-10 | 5.589543 | 1.4 | 13.1 | 11.7 |
220 | 2015-02-20 | 6.445482 | 0.8 | 13.3 | 12.5 |
221 | 2015-02-28 | 1.042234 | 0.0 | 6.0 | 6.0 |
222 | 2015-03-10 | 1.056650 | 0.0 | 6.4 | 6.4 |
223 | 2015-03-20 | 0.089645 | 0.0 | 2.2 | 2.2 |
224 | 2015-03-31 | 8.189543 | 0.7 | 15.4 | 14.7 |
225 | 2015-04-10 | 4.287716 | 0.0 | 14.3 | 14.3 |
226 | 2015-04-20 | 2.853909 | 0.0 | 13.9 | 13.9 |
227 | 2015-04-30 | 0.012487 | 0.0 | 2.5 | 2.5 |
228 | 2015-05-10 | 0.127919 | 0.0 | 0.6 | 0.6 |
229 | 2015-05-20 | 0.622234 | 0.0 | 1.9 | 1.9 |
230 | 2015-05-31 | 0.550152 | 0.0 | 2.1 | 2.1 |
231 | 2015-06-10 | 0.333807 | 0.0 | 1.6 | 1.6 |
232 | 2015-06-20 | 0.310355 | 0.0 | 2.3 | 2.3 |
233 | 2015-06-30 | 0.608122 | 0.0 | 2.1 | 2.1 |
234 | 2015-07-10 | 0.135533 | 0.0 | 1.5 | 1.5 |
235 | 2015-07-20 | 0.624467 | 0.0 | 1.9 | 1.9 |
236 | 2015-07-31 | 0.847208 | 0.0 | 2.2 | 2.2 |
237 | 2015-08-10 | 0.211980 | 0.0 | 1.6 | 1.6 |
238 | 2015-08-20 | 0.567411 | 0.0 | 2.1 | 2.1 |
239 | 2015-08-31 | 0.343655 | 0.0 | 1.2 | 1.2 |
240 | 2015-09-10 | 0.990051 | 0.0 | 2.1 | 2.1 |
241 | 2015-09-20 | 0.346193 | 0.0 | 1.1 | 1.1 |
242 | 2015-09-30 | 1.383046 | 0.0 | 4.3 | 4.3 |
243 | 2015-10-10 | 0.107208 | 0.0 | 1.2 | 1.2 |
244 | 2015-10-20 | 1.007513 | 0.0 | 2.9 | 2.9 |
245 | 2015-10-31 | 0.072386 | 0.0 | 1.1 | 1.1 |
246 | 2015-11-10 | 0.040914 | 0.0 | 1.0 | 1.0 |
247 | 2015-11-20 | 2.133807 | 0.6 | 4.1 | 3.5 |
248 | 2015-11-30 | 2.805279 | 1.1 | 6.0 | 4.9 |
249 | 2015-12-10 | 0.025990 | 0.0 | 0.7 | 0.7 |
250 | 2015-12-20 | 8.960000 | 4.6 | 18.9 | 14.3 |
251 | 2015-12-31 | 2.298376 | 0.0 | 6.4 | 6.4 |
252 | 2016-01-10 | 0.925482 | 0.0 | 3.0 | 3.0 |
253 | 2016-01-20 | 0.757259 | 0.0 | 3.2 | 3.2 |
254 | 2016-01-31 | 11.521523 | 3.1 | 21.4 | 18.3 |
255 | 2016-02-10 | 0.033503 | 0.0 | 2.3 | 2.3 |
256 | 2016-02-20 | 0.075431 | 0.0 | 4.7 | 4.7 |
257 | 2016-02-29 | 7.002741 | 0.0 | 15.1 | 15.1 |
258 | 2016-03-10 | 5.059289 | 2.5 | 11.7 | 9.2 |
259 | 2016-03-20 | 7.216345 | 2.8 | 12.8 | 10.0 |
260 | 2016-03-31 | 5.835025 | 2.1 | 14.7 | 12.6 |
261 | 2016-04-10 | 9.198376 | 1.7 | 18.7 | 17.0 |
262 | 2016-04-20 | 0.041015 | 0.0 | 3.0 | 3.0 |
263 | 2016-04-30 | 0.058782 | 0.0 | 4.2 | 4.2 |
264 | 2016-05-10 | 0.478173 | 0.0 | 1.7 | 1.7 |
265 | 2016-05-20 | 0.429543 | 0.0 | 1.7 | 1.7 |
266 | 2016-05-31 | 0.770558 | 0.0 | 1.9 | 1.9 |
267 | 2016-06-10 | 0.468731 | 0.0 | 1.9 | 1.9 |
268 | 2016-06-20 | 0.738883 | 0.0 | 3.4 | 3.4 |
269 | 2016-06-30 | 0.612792 | 0.0 | 3.4 | 3.4 |
270 | 2016-07-10 | 0.065076 | 0.0 | 1.1 | 1.1 |
271 | 2016-07-20 | 0.402234 | 0.0 | 2.0 | 2.0 |
272 | 2016-07-31 | 1.197766 | 0.0 | 2.7 | 2.7 |
273 | 2016-08-10 | 0.486701 | 0.0 | 1.3 | 1.3 |
274 | 2016-08-20 | 0.332690 | 0.0 | 2.0 | 2.0 |
275 | 2016-08-31 | 0.433604 | 0.0 | 1.6 | 1.6 |
276 | 2016-09-10 | 0.435228 | 0.0 | 1.3 | 1.3 |
277 | 2016-09-20 | 0.127005 | 0.0 | 1.5 | 1.5 |
278 | 2016-09-30 | 0.656447 | 0.0 | 1.7 | 1.7 |
279 | 2016-10-10 | 1.339898 | 0.0 | 4.8 | 4.8 |
280 | 2016-10-20 | 0.000406 | 0.0 | 0.2 | 0.2 |
281 | 2016-10-31 | 1.031777 | 0.0 | 4.1 | 4.1 |
282 | 2016-11-10 | 2.033096 | 0.0 | 6.2 | 6.2 |
283 | 2016-11-20 | 8.740812 | 2.8 | 15.6 | 12.8 |
284 | 2016-11-30 | 0.536345 | 0.0 | 3.2 | 3.2 |
285 | 2016-12-10 | 3.029036 | 1.0 | 9.5 | 8.5 |
286 | 2016-12-20 | 15.669137 | 7.8 | 31.4 | 23.6 |
287 | 2016-12-31 | 14.904162 | 4.1 | 35.4 | 31.3 |
288 | 2017-01-10 | 16.000406 | 3.7 | 29.0 | 25.3 |
289 | 2017-01-20 | 24.100812 | 10.4 | 34.3 | 23.9 |
290 | 2017-01-31 | 11.750457 | 4.6 | 22.7 | 18.1 |
291 | 2017-02-10 | 7.437462 | 0.0 | 24.4 | 24.4 |
292 | 2017-02-20 | 12.731066 | 5.5 | 24.6 | 19.1 |
293 | 2017-02-28 | 11.447817 | 3.7 | 24.9 | 21.2 |
294 | 2017-03-10 | 11.034721 | 2.3 | 33.3 | 31.0 |
295 | 2017-03-20 | 4.377462 | 0.0 | 17.5 | 17.5 |
296 | 2017-03-31 | 2.567411 | 0.0 | 10.0 | 10.0 |
297 | 2017-04-10 | 0.186802 | 0.0 | 4.3 | 4.3 |
298 | 2017-04-20 | 1.830660 | 0.0 | 4.2 | 4.2 |
299 | 2017-04-30 | 2.293096 | 0.0 | 7.5 | 7.5 |
300 | 2017-05-10 | 0.489949 | 0.0 | 2.0 | 2.0 |
301 | 2017-05-20 | 0.944772 | 0.0 | 7.6 | 7.6 |
302 | 2017-05-31 | 1.265178 | 0.0 | 2.4 | 2.4 |
303 | 2017-06-10 | 0.832284 | 0.0 | 2.7 | 2.7 |
304 | 2017-06-20 | 0.700812 | 0.0 | 3.4 | 3.4 |
305 | 2017-06-30 | 0.680711 | 0.0 | 4.0 | 4.0 |
306 | 2017-07-10 | 0.856041 | 0.0 | 2.1 | 2.1 |
307 | 2017-07-20 | 1.210355 | 0.0 | 3.2 | 3.2 |
308 | 2017-07-31 | 1.165990 | 0.0 | 3.7 | 3.7 |
309 | 2017-08-10 | 0.725990 | 0.0 | 2.0 | 2.0 |
310 | 2017-08-20 | 0.554416 | 0.0 | 3.1 | 3.1 |
311 | 2017-08-31 | 0.371980 | 0.0 | 1.4 | 1.4 |
312 | 2017-09-10 | 0.729645 | 0.0 | 1.8 | 1.8 |
313 | 2017-09-20 | 0.350761 | 0.0 | 0.9 | 0.9 |
314 | 2017-09-30 | 0.403452 | 0.0 | 3.6 | 3.6 |
315 | 2017-10-10 | 1.166193 | 0.0 | 4.2 | 4.2 |
316 | 2017-10-20 | 0.020000 | 0.0 | 1.2 | 1.2 |
317 | 2017-10-31 | 2.298985 | 0.0 | 7.3 | 7.3 |
318 | 2017-11-10 | 1.115838 | 0.0 | 2.9 | 2.9 |
319 | 2017-11-20 | 8.494112 | 3.1 | 14.7 | 11.6 |
320 | 2017-11-30 | 2.276345 | 0.4 | 5.1 | 4.7 |
321 | 2017-12-10 | 0.128223 | 0.0 | 1.3 | 1.3 |
322 | 2017-12-20 | 3.380508 | 0.0 | 8.3 | 8.3 |
323 | 2017-12-31 | 8.891675 | 3.7 | 16.7 | 13.0 |
324 | 2018-01-10 | 3.353807 | 0.0 | 8.0 | 8.0 |
325 | 2018-01-20 | 0.187005 | 0.0 | 2.6 | 2.6 |
326 | 2018-01-31 | 2.935533 | 0.0 | 8.6 | 8.6 |
327 | 2018-02-10 | 15.054416 | 5.4 | 24.8 | 19.4 |
328 | 2018-02-20 | 14.852284 | 5.5 | 25.6 | 20.1 |
329 | 2018-02-28 | 11.581117 | 3.4 | 19.2 | 15.8 |
330 | 2018-03-10 | 2.014112 | 0.0 | 5.7 | 5.7 |
331 | 2018-03-20 | 0.046091 | 0.0 | 4.6 | 4.6 |
332 | 2018-03-31 | 9.601117 | 3.7 | 20.0 | 16.3 |
333 | 2018-04-10 | 5.427107 | 0.0 | 14.9 | 14.9 |
334 | 2018-04-20 | 0.465482 | 0.0 | 3.9 | 3.9 |
335 | 2018-04-30 | 0.267919 | 0.0 | 2.4 | 2.4 |
336 | 2018-05-10 | 0.782132 | 0.0 | 3.5 | 3.5 |
337 | 2018-05-20 | 0.199391 | 0.0 | 2.7 | 2.7 |
338 | 2018-05-31 | 0.710254 | 0.0 | 1.9 | 1.9 |
339 | 2018-06-10 | 0.708325 | 0.0 | 1.8 | 1.8 |
340 | 2018-06-20 | 0.151878 | 0.0 | 2.5 | 2.5 |
341 | 2018-06-30 | 0.495228 | 0.0 | 2.7 | 2.7 |
342 | 2018-07-10 | 1.148528 | 0.0 | 4.4 | 4.4 |
343 | 2018-07-20 | 1.073909 | 0.0 | 4.1 | 4.1 |
344 | 2018-07-31 | 2.137462 | 0.0 | 4.8 | 4.8 |
345 | 2018-08-10 | 0.443452 | 0.0 | 2.1 | 2.1 |
346 | 2018-08-20 | 0.447107 | 0.0 | 2.8 | 2.8 |
347 | 2018-08-31 | 0.849239 | 0.0 | 2.6 | 2.6 |
348 | 2018-09-10 | 0.444670 | 0.0 | 1.7 | 1.7 |
349 | 2018-09-20 | 0.414416 | 0.0 | 1.6 | 1.6 |
350 | 2018-09-30 | 0.863046 | 0.0 | 4.5 | 4.5 |
351 | 2018-10-10 | 0.054822 | 0.0 | 1.3 | 1.3 |
352 | 2018-10-20 | 0.565584 | 0.0 | 3.2 | 3.2 |
353 | 2018-10-31 | 0.769949 | 0.0 | 2.9 | 2.9 |
354 | 2018-11-10 | 0.134213 | 0.0 | 1.5 | 1.5 |
355 | 2018-11-20 | 0.031269 | 0.0 | 1.0 | 1.0 |
356 | 2018-11-30 | 9.020508 | 4.1 | 18.9 | 14.8 |
357 | 2018-12-10 | 7.794010 | 4.4 | 16.6 | 12.2 |
358 | 2018-12-20 | 0.406294 | 0.0 | 2.4 | 2.4 |
359 | 2018-12-31 | 2.808020 | 0.9 | 4.9 | 4.0 |
360 | 2019-01-10 | 9.425279 | 0.0 | 17.8 | 17.8 |
361 | 2019-01-20 | 11.136041 | 2.7 | 16.5 | 13.8 |
362 | 2019-01-31 | 4.909543 | 0.7 | 9.0 | 8.3 |
363 | 2019-02-10 | 0.753604 | 0.0 | 2.7 | 2.7 |
364 | 2019-02-20 | 13.262030 | 7.6 | 24.6 | 17.0 |
365 | 2019-02-28 | 0.095838 | 0.0 | 0.9 | 0.9 |
366 | 2019-03-10 | 0.602538 | 0.0 | 5.6 | 5.6 |
367 | 2019-03-20 | 10.715330 | 2.8 | 21.7 | 18.9 |
368 | 2019-03-31 | 0.388122 | 0.0 | 3.4 | 3.4 |
369 | 2019-04-10 | 0.056345 | 0.0 | 1.7 | 1.7 |
370 | 2019-04-20 | 3.069137 | 0.7 | 8.7 | 8.0 |
371 | 2019-04-30 | 0.573198 | 0.0 | 2.1 | 2.1 |
372 | 2019-05-10 | 0.000000 | 0.0 | 0.0 | 0.0 |
373 | 2019-05-20 | 0.010761 | 0.0 | 0.5 | 0.5 |
374 | 2019-05-31 | 0.492792 | 0.0 | 2.1 | 2.1 |
375 | 2019-06-10 | 0.326396 | 0.0 | 2.2 | 2.2 |
376 | 2019-06-20 | 0.478579 | 0.0 | 3.1 | 3.1 |
377 | 2019-06-30 | 1.041015 | 0.0 | 3.4 | 3.4 |
378 | 2019-07-10 | 0.218071 | 0.0 | 1.3 | 1.3 |
379 | 2019-07-20 | 0.439289 | 0.0 | 1.8 | 1.8 |
380 | 2019-07-31 | 0.898274 | 0.0 | 2.0 | 2.0 |
381 | 2019-08-10 | 0.510964 | 0.0 | 1.8 | 1.8 |
382 | 2019-08-20 | 0.776548 | 0.0 | 3.3 | 3.3 |
383 | 2019-08-31 | 0.354924 | 0.0 | 1.6 | 1.6 |
384 | 2019-09-10 | 1.063147 | 0.0 | 2.3 | 2.3 |
385 | 2019-09-20 | 0.925178 | 0.4 | 1.9 | 1.5 |
386 | 2019-09-30 | 0.801827 | 0.0 | 2.1 | 2.1 |
387 | 2019-10-10 | 2.566497 | 0.5 | 6.8 | 6.3 |
388 | 2019-10-20 | 0.009442 | 0.0 | 0.6 | 0.6 |
389 | 2019-10-31 | 0.162538 | 0.0 | 1.5 | 1.5 |
390 | 2019-11-10 | 0.046802 | 0.0 | 0.8 | 0.8 |
391 | 2019-11-20 | 5.703553 | 3.3 | 11.7 | 8.4 |
392 | 2019-11-30 | 2.597665 | 0.0 | 5.0 | 5.0 |
393 | 2019-12-10 | 5.227614 | 0.0 | 11.7 | 11.7 |
394 | 2019-12-20 | 3.503756 | 0.0 | 13.2 | 13.2 |
395 | 2019-12-31 | 1.212589 | 0.0 | 3.2 | 3.2 |
396 | 2020-01-10 | 2.011066 | 0.0 | 6.9 | 6.9 |
397 | 2020-01-20 | 27.017665 | 8.2 | 44.1 | 35.9 |
398 | 2020-01-31 | 0.823959 | 0.0 | 5.1 | 5.1 |
399 | 2020-02-10 | 12.885787 | 4.8 | 22.8 | 18.0 |
400 | 2020-02-20 | 8.748528 | 0.0 | 14.0 | 14.0 |
401 | 2020-02-29 | 2.231574 | 0.0 | 4.1 | 4.1 |
402 | 2020-03-10 | 0.549340 | 0.0 | 5.6 | 5.6 |
403 | 2020-03-20 | 0.125990 | 0.0 | 1.9 | 1.9 |
404 | 2020-03-31 | 3.771168 | 0.0 | 7.7 | 7.7 |
405 | 2020-04-10 | 4.257259 | 0.0 | 11.9 | 11.9 |
406 | 2020-04-20 | 0.611980 | 0.0 | 3.6 | 3.6 |
407 | 2020-04-30 | 0.046091 | 0.0 | 1.4 | 1.4 |
408 | 2020-05-10 | 0.092183 | 0.0 | 0.6 | 0.6 |
409 | 2020-05-20 | 0.584772 | 0.0 | 1.5 | 1.5 |
410 | 2020-05-31 | 0.194619 | 0.0 | 1.7 | 1.7 |
411 | 2020-06-10 | 1.187107 | 0.2 | 4.4 | 4.2 |
412 | 2020-06-20 | 1.968832 | 0.2 | 10.1 | 9.9 |
413 | 2020-06-30 | 0.000000 | 0.0 | 0.0 | 0.0 |
414 | 2020-07-10 | 0.528528 | 0.0 | 1.8 | 1.8 |
415 | 2020-07-20 | 0.736548 | 0.0 | 2.3 | 2.3 |
416 | 2020-07-31 | 0.704264 | 0.0 | 2.2 | 2.2 |
417 | 2020-08-10 | 0.257970 | 0.0 | 1.6 | 1.6 |
418 | 2020-08-20 | 0.458579 | 0.0 | 2.3 | 2.3 |
419 | 2020-08-31 | 0.461320 | 0.0 | 1.7 | 1.7 |
420 | 2020-09-10 | 0.783553 | 0.0 | 1.5 | 1.5 |
421 | 2020-09-20 | 0.994619 | 0.0 | 2.2 | 2.2 |
422 | 2020-09-30 | 0.932183 | 0.4 | 4.8 | 4.4 |
423 | 2020-10-10 | 1.636447 | 0.0 | 6.7 | 6.7 |
424 | 2020-10-20 | 2.003655 | 0.0 | 11.9 | 11.9 |
425 | 2020-10-31 | 0.676244 | 0.0 | 4.4 | 4.4 |
426 | 2020-11-10 | 4.060711 | 1.9 | 8.1 | 6.2 |
427 | 2020-11-20 | 0.065178 | 0.0 | 1.4 | 1.4 |
428 | 2020-11-30 | 5.385888 | 2.6 | 12.8 | 10.2 |
429 | 2020-12-10 | 9.182132 | 0.0 | 31.4 | 31.4 |
430 | 2020-12-20 | 12.465076 | 5.8 | 27.9 | 22.1 |
431 | 2020-12-31 | 8.382944 | 4.7 | 18.0 | 13.3 |
432 | 2021-01-10 | 9.639188 | 0.0 | 21.3 | 21.3 |
433 | 2021-01-20 | 26.539695 | 7.1 | 44.0 | 36.9 |
434 | 2021-01-31 | 11.566802 | 5.3 | 24.2 | 18.9 |
435 | 2021-02-10 | 5.973909 | 1.5 | 12.4 | 10.9 |
436 | 2021-02-20 | 15.535533 | 6.5 | 29.7 | 23.2 |
437 | 2021-02-28 | 4.109442 | 0.0 | 9.3 | 9.3 |
438 | 2021-03-10 | 0.674924 | 0.0 | 6.9 | 6.9 |
439 | 2021-03-20 | 0.197056 | 0.0 | 2.9 | 2.9 |
440 | 2021-03-31 | 2.897360 | 0.0 | 10.1 | 10.1 |
441 | 2021-04-10 | 0.069543 | 0.0 | 1.2 | 1.2 |
442 | 2021-04-20 | 0.250863 | 0.0 | 2.9 | 2.9 |
443 | 2021-04-30 | 1.514721 | 0.0 | 4.9 | 4.9 |
444 | 2021-05-10 | 0.685279 | 0.0 | 1.8 | 1.8 |
445 | 2021-05-20 | 0.753503 | 0.0 | 2.5 | 2.5 |
446 | 2021-05-31 | 1.277766 | 0.0 | 3.6 | 3.6 |
447 | 2021-06-10 | 2.172386 | 0.0 | 9.7 | 9.7 |
448 | 2021-06-20 | 1.151980 | 0.0 | 7.5 | 7.5 |
449 | 2021-06-30 | 1.534416 | 0.0 | 7.6 | 7.6 |
450 | 2021-07-10 | 1.284365 | 0.0 | 2.8 | 2.8 |
451 | 2021-07-20 | 0.675736 | 0.0 | 3.1 | 3.1 |
452 | 2021-07-31 | 0.903959 | 0.0 | 3.2 | 3.2 |
453 | 2021-08-10 | 0.933503 | 0.0 | 3.2 | 3.2 |
454 | 2021-08-20 | 0.529746 | 0.0 | 3.9 | 3.9 |
455 | 2021-08-31 | 0.982843 | 0.0 | 3.2 | 3.2 |
456 | 2021-09-10 | 0.237462 | 0.0 | 1.5 | 1.5 |
457 | 2021-09-20 | 0.529340 | 0.0 | 1.2 | 1.2 |
458 | 2021-09-30 | 0.769645 | 0.0 | 3.7 | 3.7 |
459 | 2021-10-10 | 0.724569 | 0.0 | 2.6 | 2.6 |
460 | 2021-10-20 | 1.384772 | 0.0 | 6.6 | 6.6 |
461 | 2021-10-31 | 1.096751 | 0.0 | 7.7 | 7.7 |
462 | 2021-11-10 | 0.077056 | 0.0 | 0.9 | 0.9 |
463 | 2021-11-20 | 1.334518 | 0.0 | 3.6 | 3.6 |
464 | 2021-11-30 | 2.166904 | 0.9 | 4.5 | 3.6 |
465 | 2021-12-10 | 0.297665 | 0.0 | 1.3 | 1.3 |
466 | 2021-12-20 | 3.993503 | 2.1 | 7.7 | 5.6 |
467 | 2021-12-31 | 5.607208 | 2.9 | 12.3 | 9.4 |
468 | 2022-01-10 | 4.442437 | 0.0 | 10.1 | 10.1 |
469 | 2022-01-20 | 4.028223 | 0.0 | 8.8 | 8.8 |
470 | 2022-01-31 | 16.010863 | 4.0 | 32.2 | 28.2 |
471 | 2022-02-10 | 4.080203 | 0.5 | 9.4 | 8.9 |
472 | 2022-02-20 | 0.411980 | 0.0 | 2.7 | 2.7 |
473 | 2022-02-28 | 0.149746 | 0.0 | 1.8 | 1.8 |
474 | 2022-03-10 | 1.336954 | 0.0 | 11.5 | 11.5 |
475 | 2022-03-20 | 7.027919 | 0.0 | 23.9 | 23.9 |
476 | 2022-03-31 | 9.256548 | 0.0 | 18.1 | 18.1 |
477 | 2022-04-10 | 3.863553 | 0.0 | 11.4 | 11.4 |
478 | 2022-04-20 | 4.059188 | 0.0 | 11.2 | 11.2 |
479 | 2022-04-30 | 2.737766 | 0.0 | 20.7 | 20.7 |
480 | 2022-05-10 | 0.490254 | 0.0 | 1.2 | 1.2 |
481 | 2022-05-20 | 0.501726 | 0.0 | 2.5 | 2.5 |
482 | 2022-05-31 | 0.929442 | 0.0 | 2.9 | 2.9 |
483 | 2022-06-10 | 1.479086 | 0.0 | 6.4 | 6.4 |
484 | 2022-06-20 | 2.020508 | 0.2 | 9.6 | 9.4 |
485 | 2022-06-30 | 1.418376 | 0.0 | 10.0 | 10.0 |
486 | 2022-07-10 | 0.706396 | 0.0 | 2.6 | 2.6 |
487 | 2022-07-20 | 0.767005 | 0.0 | 3.0 | 3.0 |
488 | 2022-07-31 | 1.138173 | 0.0 | 2.8 | 2.8 |
489 | 2022-08-10 | 0.617157 | 0.0 | 1.7 | 1.7 |
490 | 2022-08-20 | 0.544670 | 0.0 | 2.7 | 2.7 |
491 | 2022-08-31 | 0.391980 | 0.0 | 1.8 | 1.8 |
492 | 2022-09-10 | 0.207716 | 0.0 | 1.6 | 1.6 |
493 | 2022-09-20 | 0.130964 | 0.0 | 0.7 | 0.7 |
494 | 2022-09-30 | 0.324975 | 0.0 | 1.4 | 1.4 |
495 | 2022-10-10 | 0.000000 | 0.0 | 0.0 | 0.0 |
496 | 2022-10-20 | 0.001117 | 0.0 | 0.2 | 0.2 |
497 | 2022-10-31 | 1.323553 | 0.4 | 3.7 | 3.3 |
498 | 2022-11-10 | 12.718579 | 5.2 | 23.5 | 18.3 |
499 | 2022-11-20 | 7.900406 | 2.3 | 14.6 | 12.3 |
500 | 2022-11-30 | 5.293299 | 3.1 | 9.1 | 6.0 |
501 | 2022-12-10 | 5.319492 | 0.8 | 12.6 | 11.8 |
502 | 2022-12-20 | 9.466802 | 4.2 | 19.9 | 15.7 |
503 | 2022-12-31 | 0.429340 | 0.0 | 4.0 | 4.0 |
Save data to csv file
ts_area.to_csv(work_dir + '/' + 'PCP_area.csv')
centre_lon = (xmin+xmax)/2
print(centre_lon)
centre_lat = (ymin+ymax)/2
print(centre_lat)
33.5685733371311 -19.820833333333304
Point=[centre_lon, centre_lat] #longitude and latitude
ts_point=WaPOR.API.getPixelTimeseries(Point,'L1_PCP_D', time_range="2009-01-01,2023-12-01")
pd.set_option('display.max_rows', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.width', None)
pd.set_option('display.max_colwidth', None)
display (ts_point)
dekad | value | |
---|---|---|
0 | 2009-01-10 | 16.9 |
1 | 2009-01-20 | 9.9 |
2 | 2009-01-31 | 1.0 |
3 | 2009-02-10 | 0.0 |
4 | 2009-02-20 | 3.4 |
5 | 2009-02-28 | 18.3 |
6 | 2009-03-10 | 5.1 |
7 | 2009-03-20 | 6.7 |
8 | 2009-03-31 | 11.6 |
9 | 2009-04-10 | 3.5 |
10 | 2009-04-20 | 1.6 |
11 | 2009-04-30 | 2.0 |
12 | 2009-05-10 | 2.1 |
13 | 2009-05-20 | 0.3 |
14 | 2009-05-31 | 0.3 |
15 | 2009-06-10 | 1.7 |
16 | 2009-06-20 | 0.6 |
17 | 2009-06-30 | 1.2 |
18 | 2009-07-10 | 1.5 |
19 | 2009-07-20 | 1.0 |
20 | 2009-07-31 | 0.3 |
21 | 2009-08-10 | 0.2 |
22 | 2009-08-20 | 0.6 |
23 | 2009-08-31 | 0.6 |
24 | 2009-09-10 | 0.0 |
25 | 2009-09-20 | 0.0 |
26 | 2009-09-30 | 4.2 |
27 | 2009-10-10 | 0.0 |
28 | 2009-10-20 | 0.2 |
29 | 2009-10-31 | 1.5 |
30 | 2009-11-10 | 3.1 |
31 | 2009-11-20 | 8.9 |
32 | 2009-11-30 | 0.6 |
33 | 2009-12-10 | 9.0 |
34 | 2009-12-20 | 4.9 |
35 | 2009-12-31 | 0.0 |
36 | 2010-01-10 | 0.9 |
37 | 2010-01-20 | 0.5 |
38 | 2010-01-31 | 6.7 |
39 | 2010-02-10 | 1.1 |
40 | 2010-02-20 | 7.8 |
41 | 2010-02-28 | 16.8 |
42 | 2010-03-10 | 4.2 |
43 | 2010-03-20 | 4.3 |
44 | 2010-03-31 | 0.0 |
45 | 2010-04-10 | 6.6 |
46 | 2010-04-20 | 5.3 |
47 | 2010-04-30 | 0.0 |
48 | 2010-05-10 | 0.0 |
49 | 2010-05-20 | 1.2 |
50 | 2010-05-31 | 2.1 |
51 | 2010-06-10 | 0.0 |
52 | 2010-06-20 | 0.7 |
53 | 2010-06-30 | 1.5 |
54 | 2010-07-10 | 0.5 |
55 | 2010-07-20 | 0.0 |
56 | 2010-07-31 | 1.3 |
57 | 2010-08-10 | 0.6 |
58 | 2010-08-20 | 0.0 |
59 | 2010-08-31 | 0.5 |
60 | 2010-09-10 | 0.5 |
61 | 2010-09-20 | 0.6 |
62 | 2010-09-30 | 0.6 |
63 | 2010-10-10 | 0.0 |
64 | 2010-10-20 | 0.7 |
65 | 2010-10-31 | 1.0 |
66 | 2010-11-10 | 3.0 |
67 | 2010-11-20 | 1.4 |
68 | 2010-11-30 | 2.4 |
69 | 2010-12-10 | 9.7 |
70 | 2010-12-20 | 5.0 |
71 | 2010-12-31 | 2.3 |
72 | 2011-01-10 | 11.8 |
73 | 2011-01-20 | 26.7 |
74 | 2011-01-31 | 17.7 |
75 | 2011-02-10 | 2.2 |
76 | 2011-02-20 | 0.7 |
77 | 2011-02-28 | 1.9 |
78 | 2011-03-10 | 0.0 |
79 | 2011-03-20 | 4.1 |
80 | 2011-03-31 | 1.8 |
81 | 2011-04-10 | 0.0 |
82 | 2011-04-20 | 0.0 |
83 | 2011-04-30 | 5.5 |
84 | 2011-05-10 | 0.4 |
85 | 2011-05-20 | 1.0 |
86 | 2011-05-31 | 0.2 |
87 | 2011-06-10 | 0.7 |
88 | 2011-06-20 | 0.5 |
89 | 2011-06-30 | 0.6 |
90 | 2011-07-10 | 0.5 |
91 | 2011-07-20 | 1.4 |
92 | 2011-07-31 | 0.0 |
93 | 2011-08-10 | 0.0 |
94 | 2011-08-20 | 0.6 |
95 | 2011-08-31 | 0.5 |
96 | 2011-09-10 | 0.0 |
97 | 2011-09-20 | 1.8 |
98 | 2011-09-30 | 0.0 |
99 | 2011-10-10 | 2.3 |
100 | 2011-10-20 | 1.2 |
101 | 2011-10-31 | 0.1 |
102 | 2011-11-10 | 0.0 |
103 | 2011-11-20 | 1.2 |
104 | 2011-11-30 | 5.9 |
105 | 2011-12-10 | 2.0 |
106 | 2011-12-20 | 10.0 |
107 | 2011-12-31 | 4.6 |
108 | 2012-01-10 | 0.0 |
109 | 2012-01-20 | 8.1 |
110 | 2012-01-31 | 3.6 |
111 | 2012-02-10 | 0.0 |
112 | 2012-02-20 | 8.8 |
113 | 2012-02-29 | 1.4 |
114 | 2012-03-10 | 4.7 |
115 | 2012-03-20 | 2.5 |
116 | 2012-03-31 | 6.3 |
117 | 2012-04-10 | 2.6 |
118 | 2012-04-20 | 2.1 |
119 | 2012-04-30 | 0.8 |
120 | 2012-05-10 | 0.0 |
121 | 2012-05-20 | 0.4 |
122 | 2012-05-31 | 1.1 |
123 | 2012-06-10 | 0.0 |
124 | 2012-06-20 | 0.7 |
125 | 2012-06-30 | 1.2 |
126 | 2012-07-10 | 0.0 |
127 | 2012-07-20 | 0.3 |
128 | 2012-07-31 | 0.7 |
129 | 2012-08-10 | 0.4 |
130 | 2012-08-20 | 0.0 |
131 | 2012-08-31 | 0.5 |
132 | 2012-09-10 | 0.0 |
133 | 2012-09-20 | 0.0 |
134 | 2012-09-30 | 2.9 |
135 | 2012-10-10 | 0.0 |
136 | 2012-10-20 | 2.3 |
137 | 2012-10-31 | 2.8 |
138 | 2012-11-10 | 0.4 |
139 | 2012-11-20 | 0.0 |
140 | 2012-11-30 | 1.7 |
141 | 2012-12-10 | 4.7 |
142 | 2012-12-20 | 1.3 |
143 | 2012-12-31 | 5.5 |
144 | 2013-01-10 | 16.7 |
145 | 2013-01-20 | 22.4 |
146 | 2013-01-31 | 5.4 |
147 | 2013-02-10 | 3.0 |
148 | 2013-02-20 | 8.4 |
149 | 2013-02-28 | 0.0 |
150 | 2013-03-10 | 7.4 |
151 | 2013-03-20 | 0.0 |
152 | 2013-03-31 | 0.0 |
153 | 2013-04-10 | 0.0 |
154 | 2013-04-20 | 0.0 |
155 | 2013-04-30 | 6.4 |
156 | 2013-05-10 | 0.4 |
157 | 2013-05-20 | 2.9 |
158 | 2013-05-31 | 0.6 |
159 | 2013-06-10 | 0.0 |
160 | 2013-06-20 | 0.6 |
161 | 2013-06-30 | 1.3 |
162 | 2013-07-10 | 0.0 |
163 | 2013-07-20 | 1.4 |
164 | 2013-07-31 | 2.3 |
165 | 2013-08-10 | 0.6 |
166 | 2013-08-20 | 1.0 |
167 | 2013-08-31 | 0.0 |
168 | 2013-09-10 | 0.5 |
169 | 2013-09-20 | 0.0 |
170 | 2013-09-30 | 1.5 |
171 | 2013-10-10 | 0.0 |
172 | 2013-10-20 | 0.0 |
173 | 2013-10-31 | 4.3 |
174 | 2013-11-10 | 2.1 |
175 | 2013-11-20 | 2.8 |
176 | 2013-11-30 | 2.0 |
177 | 2013-12-10 | 0.4 |
178 | 2013-12-20 | 11.3 |
179 | 2013-12-31 | 7.3 |
180 | 2014-01-10 | 10.5 |
181 | 2014-01-20 | 1.5 |
182 | 2014-01-31 | 24.2 |
183 | 2014-02-10 | 10.7 |
184 | 2014-02-20 | 0.0 |
185 | 2014-02-28 | 0.0 |
186 | 2014-03-10 | 6.1 |
187 | 2014-03-20 | 2.1 |
188 | 2014-03-31 | 1.3 |
189 | 2014-04-10 | 0.0 |
190 | 2014-04-20 | 0.0 |
191 | 2014-04-30 | 10.7 |
192 | 2014-05-10 | 0.6 |
193 | 2014-05-20 | 0.7 |
194 | 2014-05-31 | 1.2 |
195 | 2014-06-10 | 0.8 |
196 | 2014-06-20 | 1.3 |
197 | 2014-06-30 | 0.7 |
198 | 2014-07-10 | 0.0 |
199 | 2014-07-20 | 1.2 |
200 | 2014-07-31 | 1.3 |
201 | 2014-08-10 | 0.9 |
202 | 2014-08-20 | 0.0 |
203 | 2014-08-31 | 0.4 |
204 | 2014-09-10 | 0.7 |
205 | 2014-09-20 | 0.6 |
206 | 2014-09-30 | 0.0 |
207 | 2014-10-10 | 0.0 |
208 | 2014-10-20 | 0.0 |
209 | 2014-10-31 | 0.0 |
210 | 2014-11-10 | 1.4 |
211 | 2014-11-20 | 4.2 |
212 | 2014-11-30 | 0.3 |
213 | 2014-12-10 | 1.9 |
214 | 2014-12-20 | 11.2 |
215 | 2014-12-31 | 14.2 |
216 | 2015-01-10 | 0.0 |
217 | 2015-01-20 | 2.7 |
218 | 2015-01-31 | 7.3 |
219 | 2015-02-10 | 4.9 |
220 | 2015-02-20 | 8.4 |
221 | 2015-02-28 | 0.0 |
222 | 2015-03-10 | 0.0 |
223 | 2015-03-20 | 0.0 |
224 | 2015-03-31 | 10.9 |
225 | 2015-04-10 | 7.1 |
226 | 2015-04-20 | 0.0 |
227 | 2015-04-30 | 0.0 |
228 | 2015-05-10 | 0.4 |
229 | 2015-05-20 | 0.6 |
230 | 2015-05-31 | 0.5 |
231 | 2015-06-10 | 0.5 |
232 | 2015-06-20 | 0.0 |
233 | 2015-06-30 | 1.2 |
234 | 2015-07-10 | 0.0 |
235 | 2015-07-20 | 0.5 |
236 | 2015-07-31 | 1.2 |
237 | 2015-08-10 | 0.6 |
238 | 2015-08-20 | 0.6 |
239 | 2015-08-31 | 0.0 |
240 | 2015-09-10 | 1.5 |
241 | 2015-09-20 | 0.5 |
242 | 2015-09-30 | 0.7 |
243 | 2015-10-10 | 0.0 |
244 | 2015-10-20 | 0.9 |
245 | 2015-10-31 | 0.0 |
246 | 2015-11-10 | 0.0 |
247 | 2015-11-20 | 1.7 |
248 | 2015-11-30 | 2.1 |
249 | 2015-12-10 | 0.0 |
250 | 2015-12-20 | 7.3 |
251 | 2015-12-31 | 2.6 |
252 | 2016-01-10 | 0.0 |
253 | 2016-01-20 | 0.0 |
254 | 2016-01-31 | 14.7 |
255 | 2016-02-10 | 0.0 |
256 | 2016-02-20 | 0.0 |
257 | 2016-02-29 | 6.5 |
258 | 2016-03-10 | 4.8 |
259 | 2016-03-20 | 7.2 |
260 | 2016-03-31 | 4.9 |
261 | 2016-04-10 | 13.1 |
262 | 2016-04-20 | 0.0 |
263 | 2016-04-30 | 0.0 |
264 | 2016-05-10 | 0.0 |
265 | 2016-05-20 | 0.8 |
266 | 2016-05-31 | 1.2 |
267 | 2016-06-10 | 0.6 |
268 | 2016-06-20 | 1.1 |
269 | 2016-06-30 | 0.6 |
270 | 2016-07-10 | 0.0 |
271 | 2016-07-20 | 0.3 |
272 | 2016-07-31 | 1.5 |
273 | 2016-08-10 | 0.9 |
274 | 2016-08-20 | 0.0 |
275 | 2016-08-31 | 0.4 |
276 | 2016-09-10 | 0.6 |
277 | 2016-09-20 | 0.0 |
278 | 2016-09-30 | 0.4 |
279 | 2016-10-10 | 2.4 |
280 | 2016-10-20 | 0.0 |
281 | 2016-10-31 | 0.0 |
282 | 2016-11-10 | 1.2 |
283 | 2016-11-20 | 8.8 |
284 | 2016-11-30 | 0.0 |
285 | 2016-12-10 | 2.2 |
286 | 2016-12-20 | 10.7 |
287 | 2016-12-31 | 14.3 |
288 | 2017-01-10 | 19.1 |
289 | 2017-01-20 | 28.2 |
290 | 2017-01-31 | 11.3 |
291 | 2017-02-10 | 7.1 |
292 | 2017-02-20 | 10.2 |
293 | 2017-02-28 | 9.5 |
294 | 2017-03-10 | 13.2 |
295 | 2017-03-20 | 8.1 |
296 | 2017-03-31 | 0.0 |
297 | 2017-04-10 | 0.0 |
298 | 2017-04-20 | 0.0 |
299 | 2017-04-30 | 4.8 |
300 | 2017-05-10 | 0.0 |
301 | 2017-05-20 | 0.8 |
302 | 2017-05-31 | 2.2 |
303 | 2017-06-10 | 0.7 |
304 | 2017-06-20 | 0.8 |
305 | 2017-06-30 | 1.6 |
306 | 2017-07-10 | 0.8 |
307 | 2017-07-20 | 1.4 |
308 | 2017-07-31 | 2.6 |
309 | 2017-08-10 | 1.3 |
310 | 2017-08-20 | 0.5 |
311 | 2017-08-31 | 0.0 |
312 | 2017-09-10 | 0.5 |
313 | 2017-09-20 | 0.4 |
314 | 2017-09-30 | 0.4 |
315 | 2017-10-10 | 1.1 |
316 | 2017-10-20 | 0.0 |
317 | 2017-10-31 | 1.3 |
318 | 2017-11-10 | 1.2 |
319 | 2017-11-20 | 8.4 |
320 | 2017-11-30 | 1.7 |
321 | 2017-12-10 | 0.0 |
322 | 2017-12-20 | 3.7 |
323 | 2017-12-31 | 8.2 |
324 | 2018-01-10 | 5.7 |
325 | 2018-01-20 | 1.7 |
326 | 2018-01-31 | 0.0 |
327 | 2018-02-10 | 16.1 |
328 | 2018-02-20 | 13.9 |
329 | 2018-02-28 | 11.5 |
330 | 2018-03-10 | 2.3 |
331 | 2018-03-20 | 0.0 |
332 | 2018-03-31 | 10.3 |
333 | 2018-04-10 | 6.9 |
334 | 2018-04-20 | 1.5 |
335 | 2018-04-30 | 0.0 |
336 | 2018-05-10 | 0.6 |
337 | 2018-05-20 | 0.5 |
338 | 2018-05-31 | 0.5 |
339 | 2018-06-10 | 1.2 |
340 | 2018-06-20 | 0.0 |
341 | 2018-06-30 | 0.5 |
342 | 2018-07-10 | 1.1 |
343 | 2018-07-20 | 1.9 |
344 | 2018-07-31 | 3.9 |
345 | 2018-08-10 | 1.3 |
346 | 2018-08-20 | 0.6 |
347 | 2018-08-31 | 0.0 |
348 | 2018-09-10 | 1.2 |
349 | 2018-09-20 | 0.0 |
350 | 2018-09-30 | 0.0 |
351 | 2018-10-10 | 0.0 |
352 | 2018-10-20 | 0.4 |
353 | 2018-10-31 | 0.4 |
354 | 2018-11-10 | 0.0 |
355 | 2018-11-20 | 0.0 |
356 | 2018-11-30 | 8.3 |
357 | 2018-12-10 | 6.5 |
358 | 2018-12-20 | 0.4 |
359 | 2018-12-31 | 3.3 |
360 | 2019-01-10 | 12.1 |
361 | 2019-01-20 | 13.0 |
362 | 2019-01-31 | 6.9 |
363 | 2019-02-10 | 0.0 |
364 | 2019-02-20 | 12.8 |
365 | 2019-02-28 | 0.0 |
366 | 2019-03-10 | 0.0 |
367 | 2019-03-20 | 13.1 |
368 | 2019-03-31 | 0.0 |
369 | 2019-04-10 | 0.0 |
370 | 2019-04-20 | 3.2 |
371 | 2019-04-30 | 0.5 |
372 | 2019-05-10 | 0.0 |
373 | 2019-05-20 | 0.0 |
374 | 2019-05-31 | 0.4 |
375 | 2019-06-10 | 0.5 |
376 | 2019-06-20 | 0.4 |
377 | 2019-06-30 | 1.4 |
378 | 2019-07-10 | 0.0 |
379 | 2019-07-20 | 0.5 |
380 | 2019-07-31 | 1.1 |
381 | 2019-08-10 | 1.1 |
382 | 2019-08-20 | 0.7 |
383 | 2019-08-31 | 0.0 |
384 | 2019-09-10 | 1.3 |
385 | 2019-09-20 | 0.8 |
386 | 2019-09-30 | 0.5 |
387 | 2019-10-10 | 1.4 |
388 | 2019-10-20 | 0.0 |
389 | 2019-10-31 | 0.6 |
390 | 2019-11-10 | 0.0 |
391 | 2019-11-20 | 5.3 |
392 | 2019-11-30 | 3.6 |
393 | 2019-12-10 | 3.7 |
394 | 2019-12-20 | 5.4 |
395 | 2019-12-31 | 2.3 |
396 | 2020-01-10 | 0.0 |
397 | 2020-01-20 | 35.3 |
398 | 2020-01-31 | 0.0 |
399 | 2020-02-10 | 14.2 |
400 | 2020-02-20 | 8.8 |
401 | 2020-02-29 | 2.3 |
402 | 2020-03-10 | 0.0 |
403 | 2020-03-20 | 0.0 |
404 | 2020-03-31 | 5.3 |
405 | 2020-04-10 | 3.4 |
406 | 2020-04-20 | 1.6 |
407 | 2020-04-30 | 0.0 |
408 | 2020-05-10 | 0.0 |
409 | 2020-05-20 | 1.0 |
410 | 2020-05-31 | 0.0 |
411 | 2020-06-10 | 1.8 |
412 | 2020-06-20 | 2.5 |
413 | 2020-06-30 | 0.0 |
414 | 2020-07-10 | 0.0 |
415 | 2020-07-20 | 1.1 |
416 | 2020-07-31 | 1.6 |
417 | 2020-08-10 | 0.6 |
418 | 2020-08-20 | 0.6 |
419 | 2020-08-31 | 0.0 |
420 | 2020-09-10 | 0.9 |
421 | 2020-09-20 | 1.0 |
422 | 2020-09-30 | 0.7 |
423 | 2020-10-10 | 1.9 |
424 | 2020-10-20 | 0.0 |
425 | 2020-10-31 | 0.3 |
426 | 2020-11-10 | 3.5 |
427 | 2020-11-20 | 0.2 |
428 | 2020-11-30 | 3.8 |
429 | 2020-12-10 | 4.9 |
430 | 2020-12-20 | 9.7 |
431 | 2020-12-31 | 7.1 |
432 | 2021-01-10 | 14.0 |
433 | 2021-01-20 | 33.3 |
434 | 2021-01-31 | 9.2 |
435 | 2021-02-10 | 5.9 |
436 | 2021-02-20 | 17.9 |
437 | 2021-02-28 | 4.4 |
438 | 2021-03-10 | 0.0 |
439 | 2021-03-20 | 0.0 |
440 | 2021-03-31 | 3.2 |
441 | 2021-04-10 | 0.0 |
442 | 2021-04-20 | 0.0 |
443 | 2021-04-30 | 2.4 |
444 | 2021-05-10 | 0.7 |
445 | 2021-05-20 | 0.9 |
446 | 2021-05-31 | 1.5 |
447 | 2021-06-10 | 4.5 |
448 | 2021-06-20 | 1.6 |
449 | 2021-06-30 | 2.6 |
450 | 2021-07-10 | 1.1 |
451 | 2021-07-20 | 1.2 |
452 | 2021-07-31 | 2.1 |
453 | 2021-08-10 | 1.5 |
454 | 2021-08-20 | 0.6 |
455 | 2021-08-31 | 0.5 |
456 | 2021-09-10 | 0.0 |
457 | 2021-09-20 | 0.5 |
458 | 2021-09-30 | 0.8 |
459 | 2021-10-10 | 0.0 |
460 | 2021-10-20 | 0.0 |
461 | 2021-10-31 | 1.7 |
462 | 2021-11-10 | 0.0 |
463 | 2021-11-20 | 1.0 |
464 | 2021-11-30 | 2.1 |
465 | 2021-12-10 | 0.0 |
466 | 2021-12-20 | 3.1 |
467 | 2021-12-31 | 4.8 |
468 | 2022-01-10 | 5.0 |
469 | 2022-01-20 | 5.1 |
470 | 2022-01-31 | 16.9 |
471 | 2022-02-10 | 5.7 |
472 | 2022-02-20 | 0.0 |
473 | 2022-02-28 | 0.0 |
474 | 2022-03-10 | 1.1 |
475 | 2022-03-20 | 11.9 |
476 | 2022-03-31 | 12.3 |
477 | 2022-04-10 | 4.2 |
478 | 2022-04-20 | 5.1 |
479 | 2022-04-30 | 2.5 |
480 | 2022-05-10 | 0.0 |
481 | 2022-05-20 | 0.0 |
482 | 2022-05-31 | 2.3 |
483 | 2022-06-10 | 2.1 |
484 | 2022-06-20 | 2.1 |
485 | 2022-06-30 | 1.8 |
486 | 2022-07-10 | 0.0 |
487 | 2022-07-20 | 1.3 |
488 | 2022-07-31 | 2.1 |
489 | 2022-08-10 | 0.6 |
490 | 2022-08-20 | 0.5 |
491 | 2022-08-31 | 0.4 |
492 | 2022-09-10 | 0.0 |
493 | 2022-09-20 | 0.0 |
494 | 2022-09-30 | 0.1 |
495 | 2022-10-10 | 0.0 |
496 | 2022-10-20 | 0.0 |
497 | 2022-10-31 | 1.7 |
498 | 2022-11-10 | 11.1 |
499 | 2022-11-20 | 8.7 |
500 | 2022-11-30 | 4.9 |
501 | 2022-12-10 | 5.4 |
502 | 2022-12-20 | 8.8 |
503 | 2022-12-31 | 0.0 |
504 | 2023-01-10 | 18.4 |
505 | 2023-01-20 | 4.8 |
506 | 2023-01-31 | 2.2 |
507 | 2023-02-10 | 7.5 |
508 | 2023-02-20 | 12.2 |
509 | 2023-02-28 | 18.1 |
510 | 2023-03-10 | 2.7 |
511 | 2023-03-20 | 5.2 |
512 | 2023-03-31 | 1.3 |
513 | 2023-04-10 | 0.9 |
514 | 2023-04-20 | 1.6 |
515 | 2023-04-30 | 1.2 |
516 | 2023-05-10 | 0.7 |
517 | 2023-05-20 | 0.8 |
518 | 2023-05-31 | 0.6 |
519 | 2023-06-10 | 0.7 |
520 | 2023-06-20 | 0.5 |
521 | 2023-06-30 | 0.7 |
522 | 2023-07-10 | 0.5 |
523 | 2023-07-31 | 1.2 |
524 | 2023-08-10 | 0.9 |
525 | 2023-08-20 | 0.6 |
526 | 2023-08-31 | 0.5 |
527 | 2023-09-10 | 0.4 |
528 | 2023-09-30 | 0.3 |
529 | 2023-10-10 | 1.3 |
530 | 2023-10-31 | 0.5 |
531 | 2023-11-10 | 1.2 |
532 | 2023-11-20 | 0.3 |
533 | 2023-11-30 | 3.3 |
The value of each pixel represents the average of daily precipitation in the dekad expressed in mm. To get the total precipitation for each dekad, we need to multiply the value by the number of days for each dekad. For sake of simplicity, we assumme each dakad has 10 days. To conduct this operation in pandas, execute the code field below
ts_point['PCP_Dek'] = ts_point['value'] * 10
display (ts_point)
ts_point.to_csv(work_dir + '/' + 'PCP_point.csv')
dekad | value | PCP_Dek | |
---|---|---|---|
0 | 2009-01-10 | 16.9 | 169.0 |
1 | 2009-01-20 | 9.9 | 99.0 |
2 | 2009-01-31 | 1.0 | 10.0 |
3 | 2009-02-10 | 0.0 | 0.0 |
4 | 2009-02-20 | 3.4 | 34.0 |
5 | 2009-02-28 | 18.3 | 183.0 |
6 | 2009-03-10 | 5.1 | 51.0 |
7 | 2009-03-20 | 6.7 | 67.0 |
8 | 2009-03-31 | 11.6 | 116.0 |
9 | 2009-04-10 | 3.5 | 35.0 |
10 | 2009-04-20 | 1.6 | 16.0 |
11 | 2009-04-30 | 2.0 | 20.0 |
12 | 2009-05-10 | 2.1 | 21.0 |
13 | 2009-05-20 | 0.3 | 3.0 |
14 | 2009-05-31 | 0.3 | 3.0 |
15 | 2009-06-10 | 1.7 | 17.0 |
16 | 2009-06-20 | 0.6 | 6.0 |
17 | 2009-06-30 | 1.2 | 12.0 |
18 | 2009-07-10 | 1.5 | 15.0 |
19 | 2009-07-20 | 1.0 | 10.0 |
20 | 2009-07-31 | 0.3 | 3.0 |
21 | 2009-08-10 | 0.2 | 2.0 |
22 | 2009-08-20 | 0.6 | 6.0 |
23 | 2009-08-31 | 0.6 | 6.0 |
24 | 2009-09-10 | 0.0 | 0.0 |
25 | 2009-09-20 | 0.0 | 0.0 |
26 | 2009-09-30 | 4.2 | 42.0 |
27 | 2009-10-10 | 0.0 | 0.0 |
28 | 2009-10-20 | 0.2 | 2.0 |
29 | 2009-10-31 | 1.5 | 15.0 |
30 | 2009-11-10 | 3.1 | 31.0 |
31 | 2009-11-20 | 8.9 | 89.0 |
32 | 2009-11-30 | 0.6 | 6.0 |
33 | 2009-12-10 | 9.0 | 90.0 |
34 | 2009-12-20 | 4.9 | 49.0 |
35 | 2009-12-31 | 0.0 | 0.0 |
36 | 2010-01-10 | 0.9 | 9.0 |
37 | 2010-01-20 | 0.5 | 5.0 |
38 | 2010-01-31 | 6.7 | 67.0 |
39 | 2010-02-10 | 1.1 | 11.0 |
40 | 2010-02-20 | 7.8 | 78.0 |
41 | 2010-02-28 | 16.8 | 168.0 |
42 | 2010-03-10 | 4.2 | 42.0 |
43 | 2010-03-20 | 4.3 | 43.0 |
44 | 2010-03-31 | 0.0 | 0.0 |
45 | 2010-04-10 | 6.6 | 66.0 |
46 | 2010-04-20 | 5.3 | 53.0 |
47 | 2010-04-30 | 0.0 | 0.0 |
48 | 2010-05-10 | 0.0 | 0.0 |
49 | 2010-05-20 | 1.2 | 12.0 |
50 | 2010-05-31 | 2.1 | 21.0 |
51 | 2010-06-10 | 0.0 | 0.0 |
52 | 2010-06-20 | 0.7 | 7.0 |
53 | 2010-06-30 | 1.5 | 15.0 |
54 | 2010-07-10 | 0.5 | 5.0 |
55 | 2010-07-20 | 0.0 | 0.0 |
56 | 2010-07-31 | 1.3 | 13.0 |
57 | 2010-08-10 | 0.6 | 6.0 |
58 | 2010-08-20 | 0.0 | 0.0 |
59 | 2010-08-31 | 0.5 | 5.0 |
60 | 2010-09-10 | 0.5 | 5.0 |
61 | 2010-09-20 | 0.6 | 6.0 |
62 | 2010-09-30 | 0.6 | 6.0 |
63 | 2010-10-10 | 0.0 | 0.0 |
64 | 2010-10-20 | 0.7 | 7.0 |
65 | 2010-10-31 | 1.0 | 10.0 |
66 | 2010-11-10 | 3.0 | 30.0 |
67 | 2010-11-20 | 1.4 | 14.0 |
68 | 2010-11-30 | 2.4 | 24.0 |
69 | 2010-12-10 | 9.7 | 97.0 |
70 | 2010-12-20 | 5.0 | 50.0 |
71 | 2010-12-31 | 2.3 | 23.0 |
72 | 2011-01-10 | 11.8 | 118.0 |
73 | 2011-01-20 | 26.7 | 267.0 |
74 | 2011-01-31 | 17.7 | 177.0 |
75 | 2011-02-10 | 2.2 | 22.0 |
76 | 2011-02-20 | 0.7 | 7.0 |
77 | 2011-02-28 | 1.9 | 19.0 |
78 | 2011-03-10 | 0.0 | 0.0 |
79 | 2011-03-20 | 4.1 | 41.0 |
80 | 2011-03-31 | 1.8 | 18.0 |
81 | 2011-04-10 | 0.0 | 0.0 |
82 | 2011-04-20 | 0.0 | 0.0 |
83 | 2011-04-30 | 5.5 | 55.0 |
84 | 2011-05-10 | 0.4 | 4.0 |
85 | 2011-05-20 | 1.0 | 10.0 |
86 | 2011-05-31 | 0.2 | 2.0 |
87 | 2011-06-10 | 0.7 | 7.0 |
88 | 2011-06-20 | 0.5 | 5.0 |
89 | 2011-06-30 | 0.6 | 6.0 |
90 | 2011-07-10 | 0.5 | 5.0 |
91 | 2011-07-20 | 1.4 | 14.0 |
92 | 2011-07-31 | 0.0 | 0.0 |
93 | 2011-08-10 | 0.0 | 0.0 |
94 | 2011-08-20 | 0.6 | 6.0 |
95 | 2011-08-31 | 0.5 | 5.0 |
96 | 2011-09-10 | 0.0 | 0.0 |
97 | 2011-09-20 | 1.8 | 18.0 |
98 | 2011-09-30 | 0.0 | 0.0 |
99 | 2011-10-10 | 2.3 | 23.0 |
100 | 2011-10-20 | 1.2 | 12.0 |
101 | 2011-10-31 | 0.1 | 1.0 |
102 | 2011-11-10 | 0.0 | 0.0 |
103 | 2011-11-20 | 1.2 | 12.0 |
104 | 2011-11-30 | 5.9 | 59.0 |
105 | 2011-12-10 | 2.0 | 20.0 |
106 | 2011-12-20 | 10.0 | 100.0 |
107 | 2011-12-31 | 4.6 | 46.0 |
108 | 2012-01-10 | 0.0 | 0.0 |
109 | 2012-01-20 | 8.1 | 81.0 |
110 | 2012-01-31 | 3.6 | 36.0 |
111 | 2012-02-10 | 0.0 | 0.0 |
112 | 2012-02-20 | 8.8 | 88.0 |
113 | 2012-02-29 | 1.4 | 14.0 |
114 | 2012-03-10 | 4.7 | 47.0 |
115 | 2012-03-20 | 2.5 | 25.0 |
116 | 2012-03-31 | 6.3 | 63.0 |
117 | 2012-04-10 | 2.6 | 26.0 |
118 | 2012-04-20 | 2.1 | 21.0 |
119 | 2012-04-30 | 0.8 | 8.0 |
120 | 2012-05-10 | 0.0 | 0.0 |
121 | 2012-05-20 | 0.4 | 4.0 |
122 | 2012-05-31 | 1.1 | 11.0 |
123 | 2012-06-10 | 0.0 | 0.0 |
124 | 2012-06-20 | 0.7 | 7.0 |
125 | 2012-06-30 | 1.2 | 12.0 |
126 | 2012-07-10 | 0.0 | 0.0 |
127 | 2012-07-20 | 0.3 | 3.0 |
128 | 2012-07-31 | 0.7 | 7.0 |
129 | 2012-08-10 | 0.4 | 4.0 |
130 | 2012-08-20 | 0.0 | 0.0 |
131 | 2012-08-31 | 0.5 | 5.0 |
132 | 2012-09-10 | 0.0 | 0.0 |
133 | 2012-09-20 | 0.0 | 0.0 |
134 | 2012-09-30 | 2.9 | 29.0 |
135 | 2012-10-10 | 0.0 | 0.0 |
136 | 2012-10-20 | 2.3 | 23.0 |
137 | 2012-10-31 | 2.8 | 28.0 |
138 | 2012-11-10 | 0.4 | 4.0 |
139 | 2012-11-20 | 0.0 | 0.0 |
140 | 2012-11-30 | 1.7 | 17.0 |
141 | 2012-12-10 | 4.7 | 47.0 |
142 | 2012-12-20 | 1.3 | 13.0 |
143 | 2012-12-31 | 5.5 | 55.0 |
144 | 2013-01-10 | 16.7 | 167.0 |
145 | 2013-01-20 | 22.4 | 224.0 |
146 | 2013-01-31 | 5.4 | 54.0 |
147 | 2013-02-10 | 3.0 | 30.0 |
148 | 2013-02-20 | 8.4 | 84.0 |
149 | 2013-02-28 | 0.0 | 0.0 |
150 | 2013-03-10 | 7.4 | 74.0 |
151 | 2013-03-20 | 0.0 | 0.0 |
152 | 2013-03-31 | 0.0 | 0.0 |
153 | 2013-04-10 | 0.0 | 0.0 |
154 | 2013-04-20 | 0.0 | 0.0 |
155 | 2013-04-30 | 6.4 | 64.0 |
156 | 2013-05-10 | 0.4 | 4.0 |
157 | 2013-05-20 | 2.9 | 29.0 |
158 | 2013-05-31 | 0.6 | 6.0 |
159 | 2013-06-10 | 0.0 | 0.0 |
160 | 2013-06-20 | 0.6 | 6.0 |
161 | 2013-06-30 | 1.3 | 13.0 |
162 | 2013-07-10 | 0.0 | 0.0 |
163 | 2013-07-20 | 1.4 | 14.0 |
164 | 2013-07-31 | 2.3 | 23.0 |
165 | 2013-08-10 | 0.6 | 6.0 |
166 | 2013-08-20 | 1.0 | 10.0 |
167 | 2013-08-31 | 0.0 | 0.0 |
168 | 2013-09-10 | 0.5 | 5.0 |
169 | 2013-09-20 | 0.0 | 0.0 |
170 | 2013-09-30 | 1.5 | 15.0 |
171 | 2013-10-10 | 0.0 | 0.0 |
172 | 2013-10-20 | 0.0 | 0.0 |
173 | 2013-10-31 | 4.3 | 43.0 |
174 | 2013-11-10 | 2.1 | 21.0 |
175 | 2013-11-20 | 2.8 | 28.0 |
176 | 2013-11-30 | 2.0 | 20.0 |
177 | 2013-12-10 | 0.4 | 4.0 |
178 | 2013-12-20 | 11.3 | 113.0 |
179 | 2013-12-31 | 7.3 | 73.0 |
180 | 2014-01-10 | 10.5 | 105.0 |
181 | 2014-01-20 | 1.5 | 15.0 |
182 | 2014-01-31 | 24.2 | 242.0 |
183 | 2014-02-10 | 10.7 | 107.0 |
184 | 2014-02-20 | 0.0 | 0.0 |
185 | 2014-02-28 | 0.0 | 0.0 |
186 | 2014-03-10 | 6.1 | 61.0 |
187 | 2014-03-20 | 2.1 | 21.0 |
188 | 2014-03-31 | 1.3 | 13.0 |
189 | 2014-04-10 | 0.0 | 0.0 |
190 | 2014-04-20 | 0.0 | 0.0 |
191 | 2014-04-30 | 10.7 | 107.0 |
192 | 2014-05-10 | 0.6 | 6.0 |
193 | 2014-05-20 | 0.7 | 7.0 |
194 | 2014-05-31 | 1.2 | 12.0 |
195 | 2014-06-10 | 0.8 | 8.0 |
196 | 2014-06-20 | 1.3 | 13.0 |
197 | 2014-06-30 | 0.7 | 7.0 |
198 | 2014-07-10 | 0.0 | 0.0 |
199 | 2014-07-20 | 1.2 | 12.0 |
200 | 2014-07-31 | 1.3 | 13.0 |
201 | 2014-08-10 | 0.9 | 9.0 |
202 | 2014-08-20 | 0.0 | 0.0 |
203 | 2014-08-31 | 0.4 | 4.0 |
204 | 2014-09-10 | 0.7 | 7.0 |
205 | 2014-09-20 | 0.6 | 6.0 |
206 | 2014-09-30 | 0.0 | 0.0 |
207 | 2014-10-10 | 0.0 | 0.0 |
208 | 2014-10-20 | 0.0 | 0.0 |
209 | 2014-10-31 | 0.0 | 0.0 |
210 | 2014-11-10 | 1.4 | 14.0 |
211 | 2014-11-20 | 4.2 | 42.0 |
212 | 2014-11-30 | 0.3 | 3.0 |
213 | 2014-12-10 | 1.9 | 19.0 |
214 | 2014-12-20 | 11.2 | 112.0 |
215 | 2014-12-31 | 14.2 | 142.0 |
216 | 2015-01-10 | 0.0 | 0.0 |
217 | 2015-01-20 | 2.7 | 27.0 |
218 | 2015-01-31 | 7.3 | 73.0 |
219 | 2015-02-10 | 4.9 | 49.0 |
220 | 2015-02-20 | 8.4 | 84.0 |
221 | 2015-02-28 | 0.0 | 0.0 |
222 | 2015-03-10 | 0.0 | 0.0 |
223 | 2015-03-20 | 0.0 | 0.0 |
224 | 2015-03-31 | 10.9 | 109.0 |
225 | 2015-04-10 | 7.1 | 71.0 |
226 | 2015-04-20 | 0.0 | 0.0 |
227 | 2015-04-30 | 0.0 | 0.0 |
228 | 2015-05-10 | 0.4 | 4.0 |
229 | 2015-05-20 | 0.6 | 6.0 |
230 | 2015-05-31 | 0.5 | 5.0 |
231 | 2015-06-10 | 0.5 | 5.0 |
232 | 2015-06-20 | 0.0 | 0.0 |
233 | 2015-06-30 | 1.2 | 12.0 |
234 | 2015-07-10 | 0.0 | 0.0 |
235 | 2015-07-20 | 0.5 | 5.0 |
236 | 2015-07-31 | 1.2 | 12.0 |
237 | 2015-08-10 | 0.6 | 6.0 |
238 | 2015-08-20 | 0.6 | 6.0 |
239 | 2015-08-31 | 0.0 | 0.0 |
240 | 2015-09-10 | 1.5 | 15.0 |
241 | 2015-09-20 | 0.5 | 5.0 |
242 | 2015-09-30 | 0.7 | 7.0 |
243 | 2015-10-10 | 0.0 | 0.0 |
244 | 2015-10-20 | 0.9 | 9.0 |
245 | 2015-10-31 | 0.0 | 0.0 |
246 | 2015-11-10 | 0.0 | 0.0 |
247 | 2015-11-20 | 1.7 | 17.0 |
248 | 2015-11-30 | 2.1 | 21.0 |
249 | 2015-12-10 | 0.0 | 0.0 |
250 | 2015-12-20 | 7.3 | 73.0 |
251 | 2015-12-31 | 2.6 | 26.0 |
252 | 2016-01-10 | 0.0 | 0.0 |
253 | 2016-01-20 | 0.0 | 0.0 |
254 | 2016-01-31 | 14.7 | 147.0 |
255 | 2016-02-10 | 0.0 | 0.0 |
256 | 2016-02-20 | 0.0 | 0.0 |
257 | 2016-02-29 | 6.5 | 65.0 |
258 | 2016-03-10 | 4.8 | 48.0 |
259 | 2016-03-20 | 7.2 | 72.0 |
260 | 2016-03-31 | 4.9 | 49.0 |
261 | 2016-04-10 | 13.1 | 131.0 |
262 | 2016-04-20 | 0.0 | 0.0 |
263 | 2016-04-30 | 0.0 | 0.0 |
264 | 2016-05-10 | 0.0 | 0.0 |
265 | 2016-05-20 | 0.8 | 8.0 |
266 | 2016-05-31 | 1.2 | 12.0 |
267 | 2016-06-10 | 0.6 | 6.0 |
268 | 2016-06-20 | 1.1 | 11.0 |
269 | 2016-06-30 | 0.6 | 6.0 |
270 | 2016-07-10 | 0.0 | 0.0 |
271 | 2016-07-20 | 0.3 | 3.0 |
272 | 2016-07-31 | 1.5 | 15.0 |
273 | 2016-08-10 | 0.9 | 9.0 |
274 | 2016-08-20 | 0.0 | 0.0 |
275 | 2016-08-31 | 0.4 | 4.0 |
276 | 2016-09-10 | 0.6 | 6.0 |
277 | 2016-09-20 | 0.0 | 0.0 |
278 | 2016-09-30 | 0.4 | 4.0 |
279 | 2016-10-10 | 2.4 | 24.0 |
280 | 2016-10-20 | 0.0 | 0.0 |
281 | 2016-10-31 | 0.0 | 0.0 |
282 | 2016-11-10 | 1.2 | 12.0 |
283 | 2016-11-20 | 8.8 | 88.0 |
284 | 2016-11-30 | 0.0 | 0.0 |
285 | 2016-12-10 | 2.2 | 22.0 |
286 | 2016-12-20 | 10.7 | 107.0 |
287 | 2016-12-31 | 14.3 | 143.0 |
288 | 2017-01-10 | 19.1 | 191.0 |
289 | 2017-01-20 | 28.2 | 282.0 |
290 | 2017-01-31 | 11.3 | 113.0 |
291 | 2017-02-10 | 7.1 | 71.0 |
292 | 2017-02-20 | 10.2 | 102.0 |
293 | 2017-02-28 | 9.5 | 95.0 |
294 | 2017-03-10 | 13.2 | 132.0 |
295 | 2017-03-20 | 8.1 | 81.0 |
296 | 2017-03-31 | 0.0 | 0.0 |
297 | 2017-04-10 | 0.0 | 0.0 |
298 | 2017-04-20 | 0.0 | 0.0 |
299 | 2017-04-30 | 4.8 | 48.0 |
300 | 2017-05-10 | 0.0 | 0.0 |
301 | 2017-05-20 | 0.8 | 8.0 |
302 | 2017-05-31 | 2.2 | 22.0 |
303 | 2017-06-10 | 0.7 | 7.0 |
304 | 2017-06-20 | 0.8 | 8.0 |
305 | 2017-06-30 | 1.6 | 16.0 |
306 | 2017-07-10 | 0.8 | 8.0 |
307 | 2017-07-20 | 1.4 | 14.0 |
308 | 2017-07-31 | 2.6 | 26.0 |
309 | 2017-08-10 | 1.3 | 13.0 |
310 | 2017-08-20 | 0.5 | 5.0 |
311 | 2017-08-31 | 0.0 | 0.0 |
312 | 2017-09-10 | 0.5 | 5.0 |
313 | 2017-09-20 | 0.4 | 4.0 |
314 | 2017-09-30 | 0.4 | 4.0 |
315 | 2017-10-10 | 1.1 | 11.0 |
316 | 2017-10-20 | 0.0 | 0.0 |
317 | 2017-10-31 | 1.3 | 13.0 |
318 | 2017-11-10 | 1.2 | 12.0 |
319 | 2017-11-20 | 8.4 | 84.0 |
320 | 2017-11-30 | 1.7 | 17.0 |
321 | 2017-12-10 | 0.0 | 0.0 |
322 | 2017-12-20 | 3.7 | 37.0 |
323 | 2017-12-31 | 8.2 | 82.0 |
324 | 2018-01-10 | 5.7 | 57.0 |
325 | 2018-01-20 | 1.7 | 17.0 |
326 | 2018-01-31 | 0.0 | 0.0 |
327 | 2018-02-10 | 16.1 | 161.0 |
328 | 2018-02-20 | 13.9 | 139.0 |
329 | 2018-02-28 | 11.5 | 115.0 |
330 | 2018-03-10 | 2.3 | 23.0 |
331 | 2018-03-20 | 0.0 | 0.0 |
332 | 2018-03-31 | 10.3 | 103.0 |
333 | 2018-04-10 | 6.9 | 69.0 |
334 | 2018-04-20 | 1.5 | 15.0 |
335 | 2018-04-30 | 0.0 | 0.0 |
336 | 2018-05-10 | 0.6 | 6.0 |
337 | 2018-05-20 | 0.5 | 5.0 |
338 | 2018-05-31 | 0.5 | 5.0 |
339 | 2018-06-10 | 1.2 | 12.0 |
340 | 2018-06-20 | 0.0 | 0.0 |
341 | 2018-06-30 | 0.5 | 5.0 |
342 | 2018-07-10 | 1.1 | 11.0 |
343 | 2018-07-20 | 1.9 | 19.0 |
344 | 2018-07-31 | 3.9 | 39.0 |
345 | 2018-08-10 | 1.3 | 13.0 |
346 | 2018-08-20 | 0.6 | 6.0 |
347 | 2018-08-31 | 0.0 | 0.0 |
348 | 2018-09-10 | 1.2 | 12.0 |
349 | 2018-09-20 | 0.0 | 0.0 |
350 | 2018-09-30 | 0.0 | 0.0 |
351 | 2018-10-10 | 0.0 | 0.0 |
352 | 2018-10-20 | 0.4 | 4.0 |
353 | 2018-10-31 | 0.4 | 4.0 |
354 | 2018-11-10 | 0.0 | 0.0 |
355 | 2018-11-20 | 0.0 | 0.0 |
356 | 2018-11-30 | 8.3 | 83.0 |
357 | 2018-12-10 | 6.5 | 65.0 |
358 | 2018-12-20 | 0.4 | 4.0 |
359 | 2018-12-31 | 3.3 | 33.0 |
360 | 2019-01-10 | 12.1 | 121.0 |
361 | 2019-01-20 | 13.0 | 130.0 |
362 | 2019-01-31 | 6.9 | 69.0 |
363 | 2019-02-10 | 0.0 | 0.0 |
364 | 2019-02-20 | 12.8 | 128.0 |
365 | 2019-02-28 | 0.0 | 0.0 |
366 | 2019-03-10 | 0.0 | 0.0 |
367 | 2019-03-20 | 13.1 | 131.0 |
368 | 2019-03-31 | 0.0 | 0.0 |
369 | 2019-04-10 | 0.0 | 0.0 |
370 | 2019-04-20 | 3.2 | 32.0 |
371 | 2019-04-30 | 0.5 | 5.0 |
372 | 2019-05-10 | 0.0 | 0.0 |
373 | 2019-05-20 | 0.0 | 0.0 |
374 | 2019-05-31 | 0.4 | 4.0 |
375 | 2019-06-10 | 0.5 | 5.0 |
376 | 2019-06-20 | 0.4 | 4.0 |
377 | 2019-06-30 | 1.4 | 14.0 |
378 | 2019-07-10 | 0.0 | 0.0 |
379 | 2019-07-20 | 0.5 | 5.0 |
380 | 2019-07-31 | 1.1 | 11.0 |
381 | 2019-08-10 | 1.1 | 11.0 |
382 | 2019-08-20 | 0.7 | 7.0 |
383 | 2019-08-31 | 0.0 | 0.0 |
384 | 2019-09-10 | 1.3 | 13.0 |
385 | 2019-09-20 | 0.8 | 8.0 |
386 | 2019-09-30 | 0.5 | 5.0 |
387 | 2019-10-10 | 1.4 | 14.0 |
388 | 2019-10-20 | 0.0 | 0.0 |
389 | 2019-10-31 | 0.6 | 6.0 |
390 | 2019-11-10 | 0.0 | 0.0 |
391 | 2019-11-20 | 5.3 | 53.0 |
392 | 2019-11-30 | 3.6 | 36.0 |
393 | 2019-12-10 | 3.7 | 37.0 |
394 | 2019-12-20 | 5.4 | 54.0 |
395 | 2019-12-31 | 2.3 | 23.0 |
396 | 2020-01-10 | 0.0 | 0.0 |
397 | 2020-01-20 | 35.3 | 353.0 |
398 | 2020-01-31 | 0.0 | 0.0 |
399 | 2020-02-10 | 14.2 | 142.0 |
400 | 2020-02-20 | 8.8 | 88.0 |
401 | 2020-02-29 | 2.3 | 23.0 |
402 | 2020-03-10 | 0.0 | 0.0 |
403 | 2020-03-20 | 0.0 | 0.0 |
404 | 2020-03-31 | 5.3 | 53.0 |
405 | 2020-04-10 | 3.4 | 34.0 |
406 | 2020-04-20 | 1.6 | 16.0 |
407 | 2020-04-30 | 0.0 | 0.0 |
408 | 2020-05-10 | 0.0 | 0.0 |
409 | 2020-05-20 | 1.0 | 10.0 |
410 | 2020-05-31 | 0.0 | 0.0 |
411 | 2020-06-10 | 1.8 | 18.0 |
412 | 2020-06-20 | 2.5 | 25.0 |
413 | 2020-06-30 | 0.0 | 0.0 |
414 | 2020-07-10 | 0.0 | 0.0 |
415 | 2020-07-20 | 1.1 | 11.0 |
416 | 2020-07-31 | 1.6 | 16.0 |
417 | 2020-08-10 | 0.6 | 6.0 |
418 | 2020-08-20 | 0.6 | 6.0 |
419 | 2020-08-31 | 0.0 | 0.0 |
420 | 2020-09-10 | 0.9 | 9.0 |
421 | 2020-09-20 | 1.0 | 10.0 |
422 | 2020-09-30 | 0.7 | 7.0 |
423 | 2020-10-10 | 1.9 | 19.0 |
424 | 2020-10-20 | 0.0 | 0.0 |
425 | 2020-10-31 | 0.3 | 3.0 |
426 | 2020-11-10 | 3.5 | 35.0 |
427 | 2020-11-20 | 0.2 | 2.0 |
428 | 2020-11-30 | 3.8 | 38.0 |
429 | 2020-12-10 | 4.9 | 49.0 |
430 | 2020-12-20 | 9.7 | 97.0 |
431 | 2020-12-31 | 7.1 | 71.0 |
432 | 2021-01-10 | 14.0 | 140.0 |
433 | 2021-01-20 | 33.3 | 333.0 |
434 | 2021-01-31 | 9.2 | 92.0 |
435 | 2021-02-10 | 5.9 | 59.0 |
436 | 2021-02-20 | 17.9 | 179.0 |
437 | 2021-02-28 | 4.4 | 44.0 |
438 | 2021-03-10 | 0.0 | 0.0 |
439 | 2021-03-20 | 0.0 | 0.0 |
440 | 2021-03-31 | 3.2 | 32.0 |
441 | 2021-04-10 | 0.0 | 0.0 |
442 | 2021-04-20 | 0.0 | 0.0 |
443 | 2021-04-30 | 2.4 | 24.0 |
444 | 2021-05-10 | 0.7 | 7.0 |
445 | 2021-05-20 | 0.9 | 9.0 |
446 | 2021-05-31 | 1.5 | 15.0 |
447 | 2021-06-10 | 4.5 | 45.0 |
448 | 2021-06-20 | 1.6 | 16.0 |
449 | 2021-06-30 | 2.6 | 26.0 |
450 | 2021-07-10 | 1.1 | 11.0 |
451 | 2021-07-20 | 1.2 | 12.0 |
452 | 2021-07-31 | 2.1 | 21.0 |
453 | 2021-08-10 | 1.5 | 15.0 |
454 | 2021-08-20 | 0.6 | 6.0 |
455 | 2021-08-31 | 0.5 | 5.0 |
456 | 2021-09-10 | 0.0 | 0.0 |
457 | 2021-09-20 | 0.5 | 5.0 |
458 | 2021-09-30 | 0.8 | 8.0 |
459 | 2021-10-10 | 0.0 | 0.0 |
460 | 2021-10-20 | 0.0 | 0.0 |
461 | 2021-10-31 | 1.7 | 17.0 |
462 | 2021-11-10 | 0.0 | 0.0 |
463 | 2021-11-20 | 1.0 | 10.0 |
464 | 2021-11-30 | 2.1 | 21.0 |
465 | 2021-12-10 | 0.0 | 0.0 |
466 | 2021-12-20 | 3.1 | 31.0 |
467 | 2021-12-31 | 4.8 | 48.0 |
468 | 2022-01-10 | 5.0 | 50.0 |
469 | 2022-01-20 | 5.1 | 51.0 |
470 | 2022-01-31 | 16.9 | 169.0 |
471 | 2022-02-10 | 5.7 | 57.0 |
472 | 2022-02-20 | 0.0 | 0.0 |
473 | 2022-02-28 | 0.0 | 0.0 |
474 | 2022-03-10 | 1.1 | 11.0 |
475 | 2022-03-20 | 11.9 | 119.0 |
476 | 2022-03-31 | 12.3 | 123.0 |
477 | 2022-04-10 | 4.2 | 42.0 |
478 | 2022-04-20 | 5.1 | 51.0 |
479 | 2022-04-30 | 2.5 | 25.0 |
480 | 2022-05-10 | 0.0 | 0.0 |
481 | 2022-05-20 | 0.0 | 0.0 |
482 | 2022-05-31 | 2.3 | 23.0 |
483 | 2022-06-10 | 2.1 | 21.0 |
484 | 2022-06-20 | 2.1 | 21.0 |
485 | 2022-06-30 | 1.8 | 18.0 |
486 | 2022-07-10 | 0.0 | 0.0 |
487 | 2022-07-20 | 1.3 | 13.0 |
488 | 2022-07-31 | 2.1 | 21.0 |
489 | 2022-08-10 | 0.6 | 6.0 |
490 | 2022-08-20 | 0.5 | 5.0 |
491 | 2022-08-31 | 0.4 | 4.0 |
492 | 2022-09-10 | 0.0 | 0.0 |
493 | 2022-09-20 | 0.0 | 0.0 |
494 | 2022-09-30 | 0.1 | 1.0 |
495 | 2022-10-10 | 0.0 | 0.0 |
496 | 2022-10-20 | 0.0 | 0.0 |
497 | 2022-10-31 | 1.7 | 17.0 |
498 | 2022-11-10 | 11.1 | 111.0 |
499 | 2022-11-20 | 8.7 | 87.0 |
500 | 2022-11-30 | 4.9 | 49.0 |
501 | 2022-12-10 | 5.4 | 54.0 |
502 | 2022-12-20 | 8.8 | 88.0 |
503 | 2022-12-31 | 0.0 | 0.0 |
504 | 2023-01-10 | 18.4 | 184.0 |
505 | 2023-01-20 | 4.8 | 48.0 |
506 | 2023-01-31 | 2.2 | 22.0 |
507 | 2023-02-10 | 7.5 | 75.0 |
508 | 2023-02-20 | 12.2 | 122.0 |
509 | 2023-02-28 | 18.1 | 181.0 |
510 | 2023-03-10 | 2.7 | 27.0 |
511 | 2023-03-20 | 5.2 | 52.0 |
512 | 2023-03-31 | 1.3 | 13.0 |
513 | 2023-04-10 | 0.9 | 9.0 |
514 | 2023-04-20 | 1.6 | 16.0 |
515 | 2023-04-30 | 1.2 | 12.0 |
516 | 2023-05-10 | 0.7 | 7.0 |
517 | 2023-05-20 | 0.8 | 8.0 |
518 | 2023-05-31 | 0.6 | 6.0 |
519 | 2023-06-10 | 0.7 | 7.0 |
520 | 2023-06-20 | 0.5 | 5.0 |
521 | 2023-06-30 | 0.7 | 7.0 |
522 | 2023-07-10 | 0.5 | 5.0 |
523 | 2023-07-31 | 1.2 | 12.0 |
524 | 2023-08-10 | 0.9 | 9.0 |
525 | 2023-08-20 | 0.6 | 6.0 |
526 | 2023-08-31 | 0.5 | 5.0 |
527 | 2023-09-10 | 0.4 | 4.0 |
528 | 2023-09-30 | 0.3 | 3.0 |
529 | 2023-10-10 | 1.3 | 13.0 |
530 | 2023-10-31 | 0.5 | 5.0 |
531 | 2023-11-10 | 1.2 | 12.0 |
532 | 2023-11-20 | 0.3 | 3.0 |
533 | 2023-11-30 | 3.3 | 33.0 |
# prepare a simple graphical display of the data
plt.figure(figsize=(10,5))
plt.bar(ts_point.dekad,ts_point.PCP_Dek)
plt.xlabel('Time')
plt.ylabel('Incremental rainfall')
plt.xticks(['2009-01-10', '2012-01-10','2016-01-10', '2020-01-10', '2023-11-30'])
plt.title('CHIRPS dekadal Precipitation centre Buzi catchment, Mozambique')
plt.show()
Aggregate the precipitation per dekad to a yearly sum
ts_point['year']=pd.DatetimeIndex(pd.to_datetime(ts_point['dekad'].astype('string'))).year
#ts_point
ts_point.groupby('year').sum()
value | PCP_Dek | |
---|---|---|
year | ||
2009 | 122.8 | 1228.0 |
2010 | 89.8 | 898.0 |
2011 | 107.9 | 1079.0 |
2012 | 67.8 | 678.0 |
2013 | 113.0 | 1130.0 |
2014 | 110.7 | 1107.0 |
2015 | 64.7 | 647.0 |
2016 | 99.2 | 992.0 |
2017 | 151.1 | 1511.0 |
2018 | 102.5 | 1025.0 |
2019 | 92.6 | 926.0 |
2020 | 114.1 | 1141.0 |
2021 | 123.1 | 1231.0 |
2022 | 123.7 | 1237.0 |
2023 | 91.1 | 911.0 |
Compare your results with: https://www.climatestotravel.com/climate/mozambique/beira. What can you conclude?
Retrieve the precipitation from your home location and review the results opbtained