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
70 citations as recorded by crossref.
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- 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
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
- Geostationary active fire products validation: GOES-17 ABI, GOES-16 ABI, and Himawari AHI J. Hall et al. 10.1080/01431161.2023.2217983
- 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
- One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations K. Chatzopoulos-Vouzoglanis et al. 10.1016/j.jag.2023.103214
- 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
- Modeling Wildfire Initial Attack Success Rate Based on Machine Learning in Liangshan, China Y. Xu et al. 10.3390/f14040740
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- A Year of Volcanic Hot-Spot Detection over Mediterranean Europe Using SEVIRI/MSG C. Alonso et al. 10.3390/rs15215219
- Early polar-orbiting satellite-based fire remote sensing during the 1960s L. Giglio & C. Justice 10.1080/01431161.2024.2377838
- Observations of ozone formation in southern African savanna and grassland fire plumes V. Vakkari et al. 10.1016/j.atmosenv.2019.117256
- Exploring the use of satellite Earth observation active wildland fire hotspot data via open access web platforms E. Hope et al. 10.1080/17538947.2024.2420821
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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
- 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
- A Solar Radiation Forecast Platform Spanning over the Edge-Cloud Continuum M. Frincu et al. 10.3390/electronics11172756
- Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
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- Satellite Observations of Fire Activity in Relation to Biophysical Forcing Effect of Land Surface Temperature in Mediterranean Climate J. Stoyanova et al. 10.3390/rs14071747
- Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data D. Zhang et al. 10.3390/rs15061541
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
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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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- 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
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- Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images E. Chuvieco et al. 10.1016/j.scitotenv.2022.157139
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al. 10.1109/TGRS.2023.3261664
- Analysis of tropospheric ozone concentration and their predictors in mainland Portugal C. Alonso et al. 10.1016/j.atmosres.2024.107766
- Development of a SGLI Adaptable Fire Radiative Power Estimation Algorithm using SWIR Observation Channels T. MIURA & M. MORIYAMA 10.4287/jsprs.57.277
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- Enhancing the fire weather index with atmospheric instability information M. Pinto et al. 10.1088/1748-9326/ab9e22
- A Multiscale Normalization Method of a Mixed-Effects Model for Monitoring Forest Fires Using Multi-Sensor Data L. Feng et al. 10.3390/su14031139
- Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) C. Engel et al. 10.3390/rs14112540
- Review of approaches and challenges for the validation of satellite-based active fire products in savannah ecosystems S. Ramsey et al. 10.1071/WF23202
- The In-Orbit Performance of SEVIRI From Observations of Mercury and Venus M. Burgdorf et al. 10.1109/JSTARS.2022.3165991
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- 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
- The Performance of ECMWF Ensemble Prediction System for European Extreme Fires: Portugal/Monchique in 2018 R. Durão et al. 10.3390/atmos13081239
- Mapping the Most Susceptible Regions to Fire in Portugal T. Ermitão et al. 10.3390/fire6070254
- 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
- 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
- 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
- Proposing of a Post-launch Algorithm for the SGLI Active Fire Detection Products T. MIURA & M. MORIYAMA 10.4287/jsprs.59.29
- Changes in bryophyte functional composition during post-fire succession J. Monteiro et al. 10.1016/j.scitotenv.2024.171592
- 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
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- 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
66 citations as recorded by crossref.
- 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
- An All-Weather Land Surface Temperature Product Based on MSG/SEVIRI Observations J. Martins et al. 10.3390/rs11243044
- Geostationary active fire products validation: GOES-17 ABI, GOES-16 ABI, and Himawari AHI J. Hall et al. 10.1080/01431161.2023.2217983
- 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
- One year of near-continuous fire monitoring on a continental scale: Comparing fire radiative power from polar-orbiting and geostationary observations K. Chatzopoulos-Vouzoglanis et al. 10.1016/j.jag.2023.103214
- 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
- Modeling Wildfire Initial Attack Success Rate Based on Machine Learning in Liangshan, China Y. Xu et al. 10.3390/f14040740
- Fire Danger Observed from Space M. Pettinari & E. Chuvieco 10.1007/s10712-020-09610-8
- A Year of Volcanic Hot-Spot Detection over Mediterranean Europe Using SEVIRI/MSG C. Alonso et al. 10.3390/rs15215219
- Early polar-orbiting satellite-based fire remote sensing during the 1960s L. Giglio & C. Justice 10.1080/01431161.2024.2377838
- Observations of ozone formation in southern African savanna and grassland fire plumes V. Vakkari et al. 10.1016/j.atmosenv.2019.117256
- Exploring the use of satellite Earth observation active wildland fire hotspot data via open access web platforms E. Hope et al. 10.1080/17538947.2024.2420821
- 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
- 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
- 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
- A Solar Radiation Forecast Platform Spanning over the Edge-Cloud Continuum M. Frincu et al. 10.3390/electronics11172756
- Trends in Vegetation fires in South and Southeast Asian Countries K. Vadrevu et al. 10.1038/s41598-019-43940-x
- Observational Analyses of Dry Intrusions and Increased Ozone Concentrations in the Environment of Wildfires C. Georgiev et al. 10.3390/atmos13040597
- Satellite Observations of Fire Activity in Relation to Biophysical Forcing Effect of Land Surface Temperature in Mediterranean Climate J. Stoyanova et al. 10.3390/rs14071747
- Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data D. Zhang et al. 10.3390/rs15061541
- Review of surface particulate monitoring of dust events using geostationary satellite remote sensing M. Sowden et al. 10.1016/j.atmosenv.2018.04.020
- 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
- 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
- Comparing geostationary and polar-orbiting satellite sensor estimates of Fire Radiative Power (FRP) during the Black Summer Fires (2019–2020) in south-eastern Australia K. Chatzopoulos-Vouzoglanis et al. 10.1071/WF21144
- A Contextual and Multitemporal Active-Fire Detection Algorithm Based on FengYun-2G S-VISSR Data Z. Lin et al. 10.1109/TGRS.2019.2923248
- 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
- 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
- Advancements in remote sensing for active fire detection: A review of datasets and methods S. Yang et al. 10.1016/j.scitotenv.2024.173273
- Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data H. Nguyen et al. 10.5194/acp-23-2089-2023
- Comparison of Fire Radiative Power Estimates From VIIRS and MODIS Observations F. Li et al. 10.1029/2017JD027823
- 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
- Fire Characterization by Using an Original RST-Based Approach for Fire Radiative Power (FRP) Computation C. Filizzola et al. 10.3390/fire6020048
- 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
- A New Spatio-Temporal Selection Method for Estimating Upwelling Medium-Wave Radiation B. Hally et al. 10.3390/rs15143521
- Real-Time Detection of Daytime and Night-Time Fire Hotspots from Geostationary Satellites C. Engel et al. 10.3390/rs13091627
- The Portuguese Large Wildfire Spread database (PT-FireSprd) A. Benali et al. 10.5194/essd-15-3791-2023
- 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
- Building a small fire database for Sub-Saharan Africa from Sentinel-2 high-resolution images E. Chuvieco et al. 10.1016/j.scitotenv.2022.157139
- Enhancement of Nighttime Fire Detection and Combustion Efficiency Characterization Using Suomi-NPP and NOAA-20 VIIRS Instruments M. Zhou et al. 10.1109/TGRS.2023.3261664
- Analysis of tropospheric ozone concentration and their predictors in mainland Portugal C. Alonso et al. 10.1016/j.atmosres.2024.107766
- Development of a SGLI Adaptable Fire Radiative Power Estimation Algorithm using SWIR Observation Channels T. MIURA & M. MORIYAMA 10.4287/jsprs.57.277
- 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
- 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
- Enhancing the fire weather index with atmospheric instability information M. Pinto et al. 10.1088/1748-9326/ab9e22
- A Multiscale Normalization Method of a Mixed-Effects Model for Monitoring Forest Fires Using Multi-Sensor Data L. Feng et al. 10.3390/su14031139
- Fire Radiative Power (FRP) Values for Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) Hotspots Derived from the Advanced Himawari Imager (AHI) C. Engel et al. 10.3390/rs14112540
- Review of approaches and challenges for the validation of satellite-based active fire products in savannah ecosystems S. Ramsey et al. 10.1071/WF23202
- The In-Orbit Performance of SEVIRI From Observations of Mercury and Venus M. Burgdorf et al. 10.1109/JSTARS.2022.3165991
- Validation of GOES-16 ABI and MSG SEVIRI active fire products J. Hall et al. 10.1016/j.jag.2019.101928
- 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
- The Performance of ECMWF Ensemble Prediction System for European Extreme Fires: Portugal/Monchique in 2018 R. Durão et al. 10.3390/atmos13081239
- Mapping the Most Susceptible Regions to Fire in Portugal T. Ermitão et al. 10.3390/fire6070254
- 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
- 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
- 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
- Proposing of a Post-launch Algorithm for the SGLI Active Fire Detection Products T. MIURA & M. MORIYAMA 10.4287/jsprs.59.29
- Changes in bryophyte functional composition during post-fire succession J. Monteiro et al. 10.1016/j.scitotenv.2024.171592
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
Saved (final revised paper)
Saved (preprint)
Latest update: 13 Dec 2024
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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