Fire Detection and Monitoring - MSG
FDEM
FD&M is based on the algorithm FIDALGO (Fire Detection Algorithm) developed within the LSA SAF (Amraoui et al., 2010)
to identify SEVIRI/Meteosat pixels potentially contaminated by fires.

S-LSA_-HDF5_LSASAF_MSG_FDeM-QualityProduct_Euro_201201232345.bz2
S-LSA_-HDF5_LSASAF_MSG_FDeM_Euro_201201232345.bz2
S-LSA_-HDF5_LSASAF_MSG_FDeM-QualityProduct_NAfr_201201232345.bz2
S-LSA_-HDF5_LSASAF_MSG_FDeM_NAfr_201201232345.bz2
S-LSA_-HDF5_LSASAF_MSG_FDeM-QualityProduct_SAfr_201201232345.bz2
S-LSA_-HDF5_LSASAF_MSG_FDeM_SAfr_201201232345.bz2

2 per 15 min 



IMPORT:
gdal_translate -of ilwis S-LSA_-HDF5_LSASAF_MSG_FDeM_SAfr_201409220845 lsasaf_msg_fdem_safr_201409220845.mpr
QUalityProduct not imported


Fire Radiative Power Grid - MSG
FRPGRID-SEVIRI

The FRPGRID product contains an hourly estimation of the FRP at one degree resolution and includes several correction factors.
The Fire Radiative Power product (FRP, in MWatts) provides information on the measured radiant heat output of detected fires. 
It has been demonstrated in small-scale experimental fires that the amount of radiant heat energy liberated per unit time 
(the Fire Radiative Power) is related to the rate at which fuel is being consumed [1]. This is a direct result of the combustion process, 
whereby carbon-based fuel is oxidised to CO2 with the release of a certain 'heat yield'. 
Therefore, measuring this FRP and integrating it over the lifetime of the fire provides an estimate of the total Fire Radiative Energy (FRE), 
which for wildfires should be proportional to the total mass of fuel biomass combusted.

S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201004190900.bz2


24 (per day)


IMPORT:
only 24 by 28 lines / colums, various sub-sets:
Subdatasets:
  SUBDATASET_1_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://ATMTRANS
  SUBDATASET_1_DESC=[24x28] //ATMTRANS (32-bit integer)
  SUBDATASET_2_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://BURNTSURF
  SUBDATASET_2_DESC=[24x28] //BURNTSURF (32-bit integer)
  SUBDATASET_3_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP
  SUBDATASET_3_DESC=[24x28] //GFRP (32-bit integer)
  SUBDATASET_4_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP_CLOUD_CORR
  SUBDATASET_4_DESC=[24x28] //GFRP_CLOUD_CORR (32-bit integer)
  SUBDATASET_5_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP_ERROR
  SUBDATASET_5_DESC=[24x28] //GFRP_ERROR (32-bit integer)
  SUBDATASET_6_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP_ERR_FRP
  SUBDATASET_6_DESC=[24x28] //GFRP_ERR_FRP (32-bit integer)
  SUBDATASET_7_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP_QI
  SUBDATASET_7_DESC=[24x28] //GFRP_QI (32-bit integer)
  SUBDATASET_8_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GFRP_RANGE
  SUBDATASET_8_DESC=[24x28] //GFRP_RANGE (32-bit integer)
  SUBDATASET_9_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://GRIDPIX
  SUBDATASET_9_DESC=[24x28] //GRIDPIX (32-bit integer)
  SUBDATASET_10_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://LATITUDE
  SUBDATASET_10_DESC=[24x28] //LATITUDE (32-bit integer)
  SUBDATASET_11_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://LONGITUDE
  SUBDATASET_11_DESC=[24x28] //LONGITUDE (32-bit integer)
  SUBDATASET_12_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://NUMFIRES
  SUBDATASET_12_DESC=[24x28] //NUMFIRES (32-bit integer)
  SUBDATASET_13_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://NUMIMG
  SUBDATASET_13_DESC=[24x28] //NUMIMG (32-bit integer)
  SUBDATASET_14_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FTA-FRP-GRID_Full_201409171700"://NUMSATFIRES
  SUBDATASET_14_DESC=[24x28] //NUMSATFIRES (32-bit integer)


Fire Radiative Power Pixel - MSG
FRP-SEVIRI, LSAFRP

The Fire Radiative Power product (FRP, in megawatts) provides information on the measured radiant heat output of detected fires.
It has been demonstrated in small-scale experimental fires that the amount of radiant heat energy liberated per unit time 
(the Fire Radiative Power) is related to the rate at which fuel is being consumed. This is a direct result of the combustion process, 
whereby carbon-based fuel is oxidised to CO2 with the release of a certain heat yield. Therefore, measuring this FRP and integrating 
it over the lifetime of the fire provides an estimate of the total Fire Radiative Energy (FRE), which for wildfires should be 
proportional to the total mass of fuel biomass combusted. Geostationary observations allow high temporal frequency FRP measurements, 
and thus a much-improved ability to estimate FRE via temporal integration when compared to the far less-frequent observations made 
from systems in low-Earth orbit. The FRP product is derived every 15 min at the native SEVIRI pixel resolution. 
The disseminated product includes for each processed pixel, the FRP (MW), the corresponding uncertainty in the FRP retrieval 
based on the variability of the background radiance estimation, and a confidence measure (representing the level of confidence that 
the observation is indeed a true fire). Applications: The FRP product is intended to support emerging operational atmosphere and 
climate-related applications, such as Air quality forecasting, Carbon cycle assessment and modelling, and Fire activity models.


S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-ListProduct_Euro_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-ListProduct_SAme_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-ListProduct_SAfr_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-ListProduct_NAfr_200808270015.bz2

S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-QualityProduct_Euro_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-QualityProduct_SAme_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-QualityProduct_SAfr_200808270015.bz2
S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-QualityProduct_NAfr_200808270015.bz2


96 (per day)

QUality, is map. ListProduct is table of 4 rows

gdal_translate -of ilwis S-LSA_-HDF5_LSASAF_MSG_FRP-PIXEL-QualityProduct_Euro_201409170445 quality.mpr



Fire Risk Map - MSG
FRM

The FRM product from the LSA SAF combines information from Numerical Weather Prediction (NWP) models - in this case the operational 
forecasts from ECMWF - and vegetation state from SEVIRI to derive forecasts of the risk of fire for the European region.

S-LSA_-HDF5_MSG_LSASAF_FRM-F024_Euro_201201251200.bz2
S-LSA_-HDF5_MSG_LSASAF_FRM-F048_Euro_201201261200.bz2
S-LSA_-HDF5_MSG_LSASAF_FRM-F072_Euro_201201271200.bz2

3 per day (only Europe)


Subdatasets:
  SUBDATASET_1_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://BUI
  SUBDATASET_1_DESC=[651x1701] //BUI (16-bit integer)
  SUBDATASET_2_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://DC
  SUBDATASET_2_DESC=[651x1701] //DC (16-bit integer)
  SUBDATASET_3_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://DMC
  SUBDATASET_3_DESC=[651x1701] //DMC (16-bit integer)
  SUBDATASET_4_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://DSR
  SUBDATASET_4_DESC=[651x1701] //DSR (16-bit integer)
  SUBDATASET_5_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://FFMC
  SUBDATASET_5_DESC=[651x1701] //FFMC (16-bit integer)
  SUBDATASET_6_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://FWI
  SUBDATASET_6_DESC=[651x1701] //FWI (16-bit integer)
  SUBDATASET_7_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://ISI
  SUBDATASET_7_DESC=[651x1701] //ISI (16-bit integer)
  SUBDATASET_8_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://Q_FLAGS
  SUBDATASET_8_DESC=[651x1701] //Q_FLAGS (16-bit integer)
  SUBDATASET_9_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://Risk
  SUBDATASET_9_DESC=[651x1701] //Risk (16-bit integer)
  SUBDATASET_10_NAME=HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://TRef
  SUBDATASET_10_DESC=[651x1701] //TRef (16-bit integer)



gdal_translate -of ilwis HDF5:"S-LSA_-HDF5_LSASAF_MSG_FRM-F072_Euro_201409181200"://FWI euro_fwi.mpr