Articles | Volume 13, issue 12
https://doi.org/10.5194/bg-13-3717-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-13-3717-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
28 Jun 2016
Research article |
| 28 Jun 2016
Biomass burning fuel consumption dynamics in the tropics and subtropics assessed from satellite
Faculty of Earth and Life Sciences, VU University, Amsterdam, the
Netherlands
Biospheric Sciences Laboratory, NASA Goddard Space Flight Center,
Greenbelt, MD 20771, USA
Guido R. van der Werf
Faculty of Earth and Life Sciences, VU University, Amsterdam, the
Netherlands
Johannes W. Kaiser
Max-Planck-Institut für Chemie, Mainz, Germany
Thijs T. van Leeuwen
SRON Netherlands Institute for Space Research, Utrecht, the
Netherlands
Institute for Marine and Atmospheric Research Utrecht, Utrecht, the
Netherlands
VanderSat B.V., Space Business Park, Huygensstraat 34, 2201 DK,
Noordwijk, the Netherlands
Martin J. Wooster
King's College London, Environmental Monitoring and Modelling Research
Group, Department of Geography, London, WC2R 2LS, UK
NERC National Centre for Earth Observation (NCEO), UK
Caroline E. R. Lehmann
School of GeoSciences, University of Edinburgh, Edinburgh, EH9 3JN, UK
Viewed
Total article views: 3,129 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,869 | 1,182 | 78 | 3,129 | 87 | 99 |
- HTML: 1,869
- PDF: 1,182
- XML: 78
- Total: 3,129
- BibTeX: 87
- EndNote: 99
Total article views: 2,681 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 28 Jun 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,612 | 994 | 75 | 2,681 | 84 | 95 |
- HTML: 1,612
- PDF: 994
- XML: 75
- Total: 2,681
- BibTeX: 84
- EndNote: 95
Total article views: 448 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Jan 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 257 | 188 | 3 | 448 | 3 | 4 |
- HTML: 257
- PDF: 188
- XML: 3
- Total: 448
- BibTeX: 3
- EndNote: 4
Cited
32 citations as recorded by crossref.
- Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping I. Kaur et al. 10.3390/rs11101205
- Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
- Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
- Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
- Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. 10.3390/rs10101591
- Spatial and Temporal Trends of Burnt Area in Angola: Implications for Natural Vegetation and Protected Area Management S. Catarino et al. 10.3390/d12080307
- About Validation-Comparison of Burned Area Products G. Valencia et al. 10.3390/rs12233972
- 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
- Biomass consumption by surface fires across Earth's most fire prone continent B. Murphy et al. 10.1111/gcb.14460
- Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
- Calculation of Fireline Intensity Using Remote Sensing and Geographic Information Systems: 2021 Milas-Karacahisar Fire K. COŞKUNER & E. BİLGİLİ 10.17475/kastorman.1215333
- Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America M. Longo et al. 10.5194/gmd-12-4347-2019
- Satellite observations for describing fire patterns and climate-related fire drivers in the Brazilian savannas G. Mataveli et al. 10.5194/nhess-18-125-2018
- Biological and geophysical feedbacks with fire in the Earth system S. Archibald et al. 10.1088/1748-9326/aa9ead
- Impacts of changing fire weather conditions on reconstructed trends in U.S. wildland fire activity from 1979 to 2014 P. Freeborn et al. 10.1002/2016JG003617
- 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
- Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
- Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets Y. Shimabukuro et al. 10.3390/rs12223827
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
- Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
- Statistical Comparison and Assessment of Four Fire Emissions Inventories for 2013 and a Large Wildfire in the Western United States S. Faulstich et al. 10.3390/fire5010027
- Human and climate drivers of global biomass burning variability E. Chuvieco et al. 10.1016/j.scitotenv.2021.146361
- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
- Estimation of Byram’s Fire Intensity and Rate of Spread from Spaceborne Remote Sensing Data in a Savanna Landscape G. Ruecker et al. 10.3390/fire4040065
- Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
- Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. 10.1016/j.envint.2021.106392
- Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. 10.5194/gmd-10-3329-2017
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China Y. Shen et al. 10.3390/rs13030404
- Trends and seasonal variability of atmospheric NO2 and HNO3 concentrations across three major African biomes inferred from long-term series of ground-based and satellite measurements M. Ossohou et al. 10.1016/j.atmosenv.2019.03.027
31 citations as recorded by crossref.
- Correcting Swath-Dependent Bias of MODIS FRP Observations With Quantile Mapping I. Kaur et al. 10.3390/rs11101205
- Updated Land Use and Land Cover Information Improves Biomass Burning Emission Estimates G. Mataveli et al. 10.3390/fire6110426
- Global fire emissions estimates during 1997–2016 G. van der Werf et al. 10.5194/essd-9-697-2017
- Global impact of landscape fire emissions on surface level PM2.5 concentrations, air quality exposure and population mortality G. Roberts & M. Wooster 10.1016/j.atmosenv.2021.118210
- Fire Activity and Fuel Consumption Dynamics in Sub-Saharan Africa G. Roberts et al. 10.3390/rs10101591
- Spatial and Temporal Trends of Burnt Area in Angola: Implications for Natural Vegetation and Protected Area Management S. Catarino et al. 10.3390/d12080307
- About Validation-Comparison of Burned Area Products G. Valencia et al. 10.3390/rs12233972
- 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
- Biomass consumption by surface fires across Earth's most fire prone continent B. Murphy et al. 10.1111/gcb.14460
- Crop Residue Burning Emissions and the Impact on Ambient Particulate Matters over South Korea K. Han et al. 10.3390/atmos13040559
- Calculation of Fireline Intensity Using Remote Sensing and Geographic Information Systems: 2021 Milas-Karacahisar Fire K. COŞKUNER & E. BİLGİLİ 10.17475/kastorman.1215333
- Two global data sets of daily fire emission injection heights since 2003 S. Rémy et al. 10.5194/acp-17-2921-2017
- The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America M. Longo et al. 10.5194/gmd-12-4347-2019
- Satellite observations for describing fire patterns and climate-related fire drivers in the Brazilian savannas G. Mataveli et al. 10.5194/nhess-18-125-2018
- Biological and geophysical feedbacks with fire in the Earth system S. Archibald et al. 10.1088/1748-9326/aa9ead
- Impacts of changing fire weather conditions on reconstructed trends in U.S. wildland fire activity from 1979 to 2014 P. Freeborn et al. 10.1002/2016JG003617
- 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
- Satellite Remote Sensing Contributions to Wildland Fire Science and Management E. Chuvieco et al. 10.1007/s40725-020-00116-5
- Mapping Burned Areas of Mato Grosso State Brazilian Amazon Using Multisensor Datasets Y. Shimabukuro et al. 10.3390/rs12223827
- A data-driven approach to identify controls on global fire activity from satellite and climate observations (SOFIA V1) M. Forkel et al. 10.5194/gmd-10-4443-2017
- Historical background and current developments for mapping burned area from satellite Earth observation E. Chuvieco et al. 10.1016/j.rse.2019.02.013
- Biomass burning aerosol over the Amazon: analysis of aircraft, surface and satellite observations using a global aerosol model C. Reddington et al. 10.5194/acp-19-9125-2019
- Statistical Comparison and Assessment of Four Fire Emissions Inventories for 2013 and a Large Wildfire in the Western United States S. Faulstich et al. 10.3390/fire5010027
- Human and climate drivers of global biomass burning variability E. Chuvieco et al. 10.1016/j.scitotenv.2021.146361
- Satellite-based evaluation of AeroCom model bias in biomass burning regions Q. Zhong et al. 10.5194/acp-22-11009-2022
- Estimation of Byram’s Fire Intensity and Rate of Spread from Spaceborne Remote Sensing Data in a Savanna Landscape G. Ruecker et al. 10.3390/fire4040065
- Global fire emissions buffered by the production of pyrogenic carbon M. Jones et al. 10.1038/s41561-019-0403-x
- Understanding global changes in fine-mode aerosols during 2008–2017 using statistical methods and deep learning approach X. Yan et al. 10.1016/j.envint.2021.106392
- Historic global biomass burning emissions for CMIP6 (BB4CMIP) based on merging satellite observations with proxies and fire models (1750–2015) M. van Marle et al. 10.5194/gmd-10-3329-2017
- Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models M. Forkel et al. 10.5194/bg-16-57-2019
- Estimation of Field-Level NOx Emissions from Crop Residue Burning Using Remote Sensing Data: A Case Study in Hubei, China Y. Shen et al. 10.3390/rs13030404
Saved (preprint)
Latest update: 19 Apr 2024
Short summary
Landscape fires occur on a large scale in savannas and grasslands, affecting ecosystems and air quality. We combined two satellite-derived datasets to derive fuel consumption per unit of area burned for savannas and grasslands in the (sub)tropics. Fire return periods, vegetation productivity, vegetation type and human land management were all important drivers of its spatial distribution. The results can be used to improve fire emission modelling and management or to detect ecosystem degradation.
Landscape fires occur on a large scale in savannas and grasslands, affecting ecosystems and air...
Altmetrics
Final-revised paper
Preprint