Articles | Volume 15, issue 22
https://doi.org/10.5194/acp-15-13217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-13217-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
LSA SAF Meteosat FRP products – Part 1: Algorithms, product contents, and analysis
M. J. Wooster
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
NERC National Centre for Earth Observation (NCEO), UK
G. Roberts
CORRESPONDING AUTHOR
Geography and Environment, University of Southampton, Highfield, Southampton SO17 1BJ, UK
P. H. Freeborn
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
Fire Sciences Laboratory, Rocky Mountain Research Station, US Forest Service, Missoula, Montana, USA
W. Xu
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
Y. Govaerts
Rayference, Brussels, Belgium
R. Beeby
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
J. He
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
A. Lattanzio
MakaluMedia, Darmstadt, Germany
D. Fisher
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
NERC National Centre for Earth Observation (NCEO), UK
R. Mullen
King's College London, Environmental Monitoring and Modelling Research Group, Department of Geography , Strand, London, WC2R 2LS, UK
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Cited
45 citations as recorded by crossref.
- Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring Output D. Fisher & M. Wooster 10.3390/rs10020305
- Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. 10.3390/rs10101591
- Influence of Satellite Sensor Pixel Size and Overpass Time on Undercounting of Cerrado/Savannah Landscape-Scale Fire Radiative Power (FRP): An Assessment Using the MODIS Airborne Simulator S. Sperling et al. 10.3390/fire3020011
- Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat M. Pinto et al. 10.5194/nhess-18-515-2018
- Solar Influence on Fire Radiative Power Retrieved With the Bispectral Method D. Klein et al. 10.1109/TGRS.2019.2891394
- Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites C. Engel et al. 10.3390/rs13091627
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
- Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data B. Hally et al. 10.1080/17538947.2018.1497099
- Modeling initial attack success of wildfire suppression in Catalonia, Spain M. Rodrigues et al. 10.1016/j.scitotenv.2019.02.323
- Mt. Etna Paroxysms of February–April 2021 Monitored and Quantified through a Multi-Platform Satellite Observing System F. Marchese et al. 10.3390/rs13163074
- Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement G. Roberts et al. 10.1016/j.rse.2018.08.015
- Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- Observations of ozone formation in southern African savanna and grassland fire plumes V. Vakkari et al. 10.1016/j.atmosenv.2019.117256
- Development of a SGLI Adaptable Fire Radiative Power Estimation Algorithm using SWIR Observation Channels T. MIURA & M. MORIYAMA 10.4287/jsprs.57.277
- Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape—Implications for Air Pollution Research K. Vadrevu & K. Lasko 10.3390/rs10070978
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- A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data C. Engel et al. 10.1109/TGRS.2020.3018455
- NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
- RST-FIRES, an exportable algorithm for early-fire detection and monitoring: description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2016.08.008
- Enhancing the fire weather index with atmospheric instability information M. Pinto et al. 10.1088/1748-9326/ab9e22
- Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
- A Multiscale Normalization Method of a Mixed-Effects Model for Monitoring Forest Fires Using Multi-Sensor Data L. Feng et al. 10.3390/su14031139
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
- Validation of GOES-16 ABI and MSG SEVIRI active fire products J. Hall et al. 10.1016/j.jag.2019.101928
- Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
- Multi-decade global gas flaring change inventoried using the ATSR-1, ATSR-2, AATSR and SLSTR data records D. Fisher & M. Wooster 10.1016/j.rse.2019.111298
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- LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS) G. Roberts et al. 10.5194/acp-15-13241-2015
- NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution T. Iguchi et al. 10.1175/JAMC-D-17-0278.1
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- RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2017.01.019
- Sentinel-3 active fire detection and FRP product performance - Impact of scan angle and SLSTR middle infrared channel selection W. Xu et al. 10.1016/j.rse.2021.112460
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data Z. Lin et al. 10.1109/TGRS.2017.2728103
- Approaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: A demonstration with respect to agricultural residue burning in Eastern China T. Zhang et al. 10.1016/j.rse.2017.06.028
- Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems J. Dash & B. Ogutu 10.1177/0309133316639403
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- Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations F. Li et al. 10.1029/2017JD027823
- Proposing of a Post-launch Algorithm for the SGLI Active Fire Detection Products T. MIURA & M. MORIYAMA 10.4287/jsprs.59.29
- A new top-down approach for directly estimating biomass burning emissions and fuel consumption rates and totals from geostationary satellite fire radiative power (FRP) B. Mota & M. Wooster 10.1016/j.rse.2017.12.016
- First study of Sentinel-3 SLSTR active fire detection and FRP retrieval: Night-time algorithm enhancements and global intercomparison to MODIS and VIIRS AF products W. Xu et al. 10.1016/j.rse.2020.111947
- Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. 10.5194/acp-15-8539-2015
- Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himarawi-8 AHI W. Xu et al. 10.1016/j.rse.2017.02.024
- New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations N. Andela et al. 10.5194/acp-15-8831-2015
41 citations as recorded by crossref.
- Shortwave IR Adaption of the Mid-Infrared Radiance Method of Fire Radiative Power (FRP) Retrieval for Assessing Industrial Gas Flaring Output D. Fisher & M. Wooster 10.3390/rs10020305
- Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. 10.3390/rs10101591
- Influence of Satellite Sensor Pixel Size and Overpass Time on Undercounting of Cerrado/Savannah Landscape-Scale Fire Radiative Power (FRP): An Assessment Using the MODIS Airborne Simulator S. Sperling et al. 10.3390/fire3020011
- Fire danger rating over Mediterranean Europe based on fire radiative power derived from Meteosat M. Pinto et al. 10.5194/nhess-18-515-2018
- Solar Influence on Fire Radiative Power Retrieved With the Bispectral Method D. Klein et al. 10.1109/TGRS.2019.2891394
- Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites C. Engel et al. 10.3390/rs13091627
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
- Advances in active fire detection using a multi-temporal method for next-generation geostationary satellite data B. Hally et al. 10.1080/17538947.2018.1497099
- Modeling initial attack success of wildfire suppression in Catalonia, Spain M. Rodrigues et al. 10.1016/j.scitotenv.2019.02.323
- Mt. Etna Paroxysms of February–April 2021 Monitored and Quantified through a Multi-Platform Satellite Observing System F. Marchese et al. 10.3390/rs13163074
- Investigating the impact of overlying vegetation canopy structures on fire radiative power (FRP) retrieval through simulation and measurement G. Roberts et al. 10.1016/j.rse.2018.08.015
- Top-Down Estimation of Particulate Matter Emissions from Extreme Tropical Peatland Fires Using Geostationary Satellite Fire Radiative Power Observations D. Fisher et al. 10.3390/s20247075
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- Observations of ozone formation in southern African savanna and grassland fire plumes V. Vakkari et al. 10.1016/j.atmosenv.2019.117256
- Development of a SGLI Adaptable Fire Radiative Power Estimation Algorithm using SWIR Observation Channels T. MIURA & M. MORIYAMA 10.4287/jsprs.57.277
- Intercomparison of MODIS AQUA and VIIRS I-Band Fires and Emissions in an Agricultural Landscape—Implications for Air Pollution Research K. Vadrevu & K. Lasko 10.3390/rs10070978
- Spatial-Temporal Variability of Land Surface Dry Anomalies in Climatic Aspect: Biogeophysical Insight by Meteosat Observations and SVAT Modeling J. Stoyanova et al. 10.3390/atmos10100636
- A Seasonal-Window Ensemble-Based Thresholding Technique Used to Detect Active Fires in Geostationary Remotely Sensed Data C. Engel et al. 10.1109/TGRS.2020.3018455
- NASA's surface biology and geology designated observable: A perspective on surface imaging algorithms K. Cawse-Nicholson et al. 10.1016/j.rse.2021.112349
- RST-FIRES, an exportable algorithm for early-fire detection and monitoring: description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2016.08.008
- Enhancing the fire weather index with atmospheric instability information M. Pinto et al. 10.1088/1748-9326/ab9e22
- Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
- A Multiscale Normalization Method of a Mixed-Effects Model for Monitoring Forest Fires Using Multi-Sensor Data L. Feng et al. 10.3390/su14031139
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
- Validation of GOES-16 ABI and MSG SEVIRI active fire products J. Hall et al. 10.1016/j.jag.2019.101928
- Advances in the estimation of high Spatio-temporal resolution pan-African top-down biomass burning emissions made using geostationary fire radiative power (FRP) and MAIAC aerosol optical depth (AOD) data H. Nguyen & M. Wooster 10.1016/j.rse.2020.111971
- Multi-decade global gas flaring change inventoried using the ATSR-1, ATSR-2, AATSR and SLSTR data records D. Fisher & M. Wooster 10.1016/j.rse.2019.111298
- Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
- LSA SAF Meteosat FRP products – Part 2: Evaluation and demonstration for use in the Copernicus Atmosphere Monitoring Service (CAMS) G. Roberts et al. 10.5194/acp-15-13241-2015
- NU-WRF Aerosol Transport Simulation over West Africa: Effects of Biomass Burning on Smoke Aerosol Distribution T. Iguchi et al. 10.1175/JAMC-D-17-0278.1
- A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data Z. Lin et al. 10.1109/TGRS.2019.2923248
- RST-FIRES, an exportable algorithm for early-fire detection and monitoring: Description, implementation, and field validation in the case of the MSG-SEVIRI sensor C. Filizzola et al. 10.1016/j.rse.2017.01.019
- Sentinel-3 active fire detection and FRP product performance - Impact of scan angle and SLSTR middle infrared channel selection W. Xu et al. 10.1016/j.rse.2021.112460
- Improving the south America wildfires smoke estimates: Integration of polar-orbiting and geostationary satellite fire products in the Brazilian biomass burning emission model (3BEM) G. Pereira et al. 10.1016/j.atmosenv.2022.118954
- FengYun-3C VIRR Active Fire Monitoring: Algorithm Description and Initial Assessment Using MODIS and Landsat Data Z. Lin et al. 10.1109/TGRS.2017.2728103
- Approaches for synergistically exploiting VIIRS I- and M-Band data in regional active fire detection and FRP assessment: A demonstration with respect to agricultural residue burning in Eastern China T. Zhang et al. 10.1016/j.rse.2017.06.028
- Recent advances in space-borne optical remote sensing systems for monitoring global terrestrial ecosystems J. Dash & B. Ogutu 10.1177/0309133316639403
- Proposing of a Method to Obtain Validation Data for the Moderate-Resolution-Sensor-Derived Fire Radiative Power Products from the High Spatial Resolution Satellite Data T. MIURA & M. MORIYAMA 10.4287/jsprs.58.239
- Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations F. Li et al. 10.1029/2017JD027823
- Proposing of a Post-launch Algorithm for the SGLI Active Fire Detection Products T. MIURA & M. MORIYAMA 10.4287/jsprs.59.29
- A new top-down approach for directly estimating biomass burning emissions and fuel consumption rates and totals from geostationary satellite fire radiative power (FRP) B. Mota & M. Wooster 10.1016/j.rse.2017.12.016
4 citations as recorded by crossref.
- First study of Sentinel-3 SLSTR active fire detection and FRP retrieval: Night-time algorithm enhancements and global intercomparison to MODIS and VIIRS AF products W. Xu et al. 10.1016/j.rse.2020.111947
- Using SEVIRI fire observations to drive smoke plumes in the CMAQ air quality model: a case study over Antalya in 2008 G. Baldassarre et al. 10.5194/acp-15-8539-2015
- Major advances in geostationary fire radiative power (FRP) retrieval over Asia and Australia stemming from use of Himarawi-8 AHI W. Xu et al. 10.1016/j.rse.2017.02.024
- New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations N. Andela et al. 10.5194/acp-15-8831-2015
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Latest update: 19 Mar 2023
Short summary
Landscape fires strongly influence atmospheric chemistry, composition, and climate. Characterizing such fires at very high temporal resolution is best achieved using thermal observations of actively burning fires made from geostationary Earth Observation satellites. Here we detail the Fire Radiative Power (FRP) products generated by the Land Surface Analysis Satellite Applications Facility (LSA SAF) from data collected by the Meteosat geostationary satellites.
Landscape fires strongly influence atmospheric chemistry, composition, and climate....
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