Fires are an important and highly variable source of air pollution emissions in many regions of the world and they constitute a significant factor controlling the interannual variability of the atmospheric composition. Remote sensing data has long been recognized as an effective way to detect fires over large areas. The monitoring of large fires along with a full characterization of fire occurrence at various time scales (from sub-daily to seasonal) is likely to be best served by geostationary satellites than by polar-orbiters, despite the better spatial resolution provided by the latter.
Available Products:
The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
[product] was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int
Trigo, I. F., C. C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, C. Barroso, F. Camacho-de Coca, D. Carrer, S. C. Freitas, J. García-Haro, B. Geiger, F. Gellens-Meulenberghs, N. Ghilain, J. Meliá, L. Pessanha, N. Siljamo, and A. Arboleda, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi: 10.1080/01431161003743199
Product specific citations:
Wooster, M. J., Roberts, G., Freeborn, P. H., Xu, W., Govaerts, Y., Beeby, R., He, J., Lattanzio, A., Fisher, D., and Mullen, R. (2015) LSA SAF Meteosat FRP products - Part 1: Algorithms, product contents, and analysis, Atmos. Chem. Phys., 15, 13217-13239, doi:10.5194/acp-15-13217-2015.
Roberts, G., Wooster, M. J., Xu, W., Freeborn, P. H., Morcrette, J.-J., Jones, L., Benedetti, A., Jiangping, H., Fisher, D., and Kaiser, J. W. (2015) LSA SAF Meteosat FRP products - Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS), Atmos. Chem. Phys., 15, 13241-13267, doi:10.5194/acp-15-13241-2015.
Amraoui, M., C.C. DaCamara, J.M.C. Pereira, (2010). Detection and monitoring of African vegetation fires using MSG-SEVIRI imagery, Remote Sens Environ., 114, 1038-1052. doi:10.1016/j.rse.2009.12.019.
Available data formats:
Data Server information:
Register here to access the LSA-SAF Data Server
When available, the Data Record (DR) datasets replace the corresponding Near Real Time (NRT) data in the Data Server for the overlapping period. The DR ensures continuous times series since it is produce with the most recent algorithm version. To obtain NRT data for the DR period plase contact the Help Desk.
Product | Sensor/ Platform | Spatial coverage | Spatial resolution | Temporal Coverage | Temporal resolution | Documentation | Data access | |
---|---|---|---|---|---|---|---|---|
MSG FRP - Pixel | SEVIRI/ MSG | Europe, Africa, South America | 3 km | 2016-NRT | 15 min | Access Here | MSG/FRP-PIXEL | |
MSG FRP - Pixel | SEVIRI/ MSG | Europe, Africa, South America | 3 km | 2004-2015 | 15 min | Access Here | ||
MSG-IODC | SEVIRI/ MSG | Europe, Africa, Middle East | 3 km | 2017-NRT | 15 min | Access Here | MSG-IODC/FRP-PIXEL | |
MSG FRP - Grid | SEVIRI/ MSG | Europe, Africa, South America | 5o x 5o | 2016-NRT | hourly | Access Here | MSG/FRP-GRID | |
MSG FRP - Grid | SEVIRI/ MSG | Europe, Africa, South America | 5o x 5o | 2004-2015 | hourly | Access Here | ||
FREM | SEVIRI/ MSG | Europe, Africa, South America | 0.1o x 0.1o | 2004-NRT | hourly/daily | Access Here | MSG/FREM | |
MSG FD&M | SEVIRI/ MSG | Europe, Africa, South America | 3 km | 2010-2024 | 15 min | Access Here | Contact Help Desk |
Rural fires are common events in ecosystems characterized by oscillations between rainy and drought periods, which inevitably lead to high levels of vegetation stress and to the accumulation of fuels during the dry phase. This is particularly true in Mediterranean region, where rainy and mild winters are followed by warm and dry summers. Meteorological factors play a crucial role in the setting and spreading of wildfire and are an important factor in the resulting fire severity. Fire risk indices may be based on single or combined use of meteorological observations, weather forecast model outputs and remote sensing estimations. The latter are particularly useful to identify pre-fire indicators (e.g. signals of vegetation stress), which merged with meteorological parameters may lead to the formulation of indicators of fire risk.
Available Products:
The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
[product] was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int
Trigo, I. F., C. C. DaCamara, P. Viterbo, J.-L. Roujean, F. Olesen, C. Barroso, F. Camacho-de Coca, D. Carrer, S. C. Freitas, J. García-Haro, B. Geiger, F. Gellens-Meulenberghs, N. Ghilain, J. Meliá, L. Pessanha, N. Siljamo, and A. Arboleda, 2011: The Satellite Application Facility on Land Surface Analysis. Int. J. Remote Sens., 32, 2725-2744, doi: 10.1080/01431161003743199
Product specific citations:
Pinto, M. M., DaCamara, C. C., Trigo, I. F., Trigo, R. M., and Turkman, K. F. (2018): Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat, Nat Haz and Earth Syst. Sci. 18, 515–529. doi:10.5194/nhess-18-515-2018
Available data formats:
Data Server information:
Register here to access the LSA-SAF Data Server
When available, the Data Record (DR) datasets replace the corresponding Near Real Time (NRT) data in the Data Server for the overlapping period. The DR ensures continuous times series since it is produce with the most recent algorithm version. To obtain NRT data for the DR period plase contact the Help Desk.
Product | Sensor/ Platform | Spatial coverage | Spatial resolution | Temporal Coverage | Temporal resolution | Documentation | Data access | |
---|---|---|---|---|---|---|---|---|
MSG FRM v2 | SEVIRI/ MSG | Mediterranean Europe | 3 km | 2021-NRT | daily | Access Here | MSG/FRMv2 |