Fire Radiative Power Pixel (FRPPIXEL-R, LSA-550)

DOI for scientific and technical data: 

https://dx.doi.org/10.15770/EUM_SAF_LSA_0006

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The FRPPIXEL product records information on the location, timing and fire radiative power (FRP, in MWatts) output of landscape fires ("wildfires") detected every 15 minutes across the full Meteosat disk at the native spatial resolution of the SEVIRI sensor. It has been demonstrated in small-scale experimental fires that the amount of radiant heat liberated in a fire per unit time (i.e. the Fire Radiative Power) is well related to the rate at which fuel is being consumed [3]. This is a direct result of the combustion process, whereby carbon-based fuel is oxidised to CO2 (and other gaseous and particulate products) with the accompanying release of a certain "heat yield". Measuring this FRP and integrating it over the lifetime of a fire provides an estimate of the total Fire Radiative Energy (FRE) released, which for landscape fires should be proportional to the total amount of biomass burned. The FRP approach therefore provides an alternative approach to calculating wildfire fuel consumption through methods that rely on the mapping of burned area and assuming, measuring or modelling the supposed fuel consumption per unit area. It is the basis of the global fire emissions service (GFAS) used within the Copernicus Atmosphere Monitoring Service.

 

Product Documentation

The characteristics and file format of this demonstration Data Record are the same as its correspondent NRT product. It is documented in the following documents:

Please see Product Peer-Review publications in References.

The use of LSA SAF products in publications is kindly requested to be duly acknowledged:
FRPPIXEL was provided by the EUMETSAT Satellite Application Facility on Land Surface Analysis (LSA SAF; Trigo et al., 2011)
http://lsa-saf.eumetsat.int

It is also requested that users cite these papers to describe the FRPPIXEL product if it is used within their studies.

The MSG mission (in operations since 2004) already provides a relatively long time series of VIS and IR observations over the full Earth Disk centred at 0º. The full archive of MSG/SEVIRI data was reprocessed to provide the user comunity a consistent, homogeneous and continuous Data Record of the 15-min Fire Radiative Power (FRPPixel) for the period 2004-2015. 

This Data Record was obtained with the best version of its equivalent NRT product (FRPPixel) which can also complement the time series from 2016 onwards.

 

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

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.

Wooster, M. J., G. Roberts, G. L. W. Perry, and Y. J. Kaufman (2005), Retrieval of biomass combustion rates and totals from fire radiative power observations: FRP derivation and calibration relationships between biomass consumption and fire radiative energy release, J. Geophys. Res., 110, D24311, doi:10.1029/2005JD006318.

 Wooster, M. J., Zhukov, B., and Oertel, D., (2003) Fire radiative energy for quantitative study of biomass burning: derivation from the BIRD experimental satellite and comparison to MODIS fire products, Remote Sens. Environ. 86. 83-107.

Freeborn, P.H., Wooster, M.J., Roberts, G. and Xu, W., 2014. Evaluating the SEVIRI fire thermal anomaly detection algorithm across the Central African Republic using the MODIS active fire product. Remote Sens., 6(3), pp.1890-1917.

Roberts, G., Wooster, M.J. and Lagoudakis, E., 2009. Annual and diurnal African biomass burning temporal dynamics. Biogeosciences, 6, pp.849-866.

Freeborn, P.H., Wooster, M.J., Roberts, G., Malamud, B.D. and Xu, W., 2009. Development of a virtual active fire product for Africa through a synthesis of geostationary and polar orbiting satellite data. Remote Sens. Environ., 113(8), pp.1700-1711.

Andela, N., Kaiser, J. W., van der Werf, G. R., and Wooster, M. J. (2015) New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations, Atmos. Chem. Phys., 15, 8831-8846, doi:10.5194/acp-15-8831-2015