Articles | Volume 16, issue 16
https://doi.org/10.5194/bg-16-3147-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-16-3147-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 Aug 2019
Research article |
| 23 Aug 2019
| 23 Aug 2019
Theoretical uncertainties for global satellite-derived burned area estimates
NERC National Centre for Earth Observation, University of Leicester, UK
Dept. of Geography, University College London, London, UK
Jose L. Gómez-Dans
NERC National Centre for Earth Observation, University of Leicester, UK
Dept. of Geography, University College London, London, UK
Mathias Disney
NERC National Centre for Earth Observation, University of Leicester, UK
Dept. of Geography, University College London, London, UK
Philip Lewis
NERC National Centre for Earth Observation, University of Leicester, UK
Dept. of Geography, University College London, London, UK
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Cited
15 citations as recorded by crossref.
- Climate and socioeconomic drivers of biomass burning and carbon emissions from fires in tropical dry forests: A Pantropical analysis R. Corona‐Núñez & J. Campo 10.1111/gcb.16516
- Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. 10.3390/fire7030067
- High-resolution estimation of air pollutant emissions from vegetation burning in China (2000–2018) W. Yang & X. Jiang 10.3389/fenvs.2022.896373
- Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa M. Tanase et al. 10.3390/rs12020334
- Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia H. Achour et al. 10.1080/10106049.2021.1980118
- Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
- North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. 10.1073/pnas.2414241121
- Recovery Following Recurrent Fires Across Mediterranean Ecosystems T. Ermitão et al. 10.1111/gcb.70013
- Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
- 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
- Equations to Predict Carbon Monoxide Emissions from Amazon Rainforest Fires S. Gallup et al. 10.3390/fire7120477
- Air quality changes in Ukraine during the April 2020 wildfire event M. Savenets et al. 10.5937/gp24-27436
- Increased Amazon carbon emissions mainly from decline in law enforcement L. Gatti et al. 10.1038/s41586-023-06390-0
- Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia A. Burrell et al. 10.1016/j.scitotenv.2022.154885
15 citations as recorded by crossref.
- Climate and socioeconomic drivers of biomass burning and carbon emissions from fires in tropical dry forests: A Pantropical analysis R. Corona‐Núñez & J. Campo 10.1111/gcb.16516
- Regional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes P. Ferro et al. 10.3390/fire7030067
- High-resolution estimation of air pollutant emissions from vegetation burning in China (2000–2018) W. Yang & X. Jiang 10.3389/fenvs.2022.896373
- Burned Area Detection and Mapping: Intercomparison of Sentinel-1 and Sentinel-2 Based Algorithms over Tropical Africa M. Tanase et al. 10.3390/rs12020334
- Evaluation and comparison of Sentinel-2 MSI, Landsat 8 OLI, and EFFIS data for forest fires mapping. Illustrations from the summer 2017 fires in Tunisia H. Achour et al. 10.1080/10106049.2021.1980118
- Global intercomparison of functional pyrodiversity from two satellite sensors M. Moreno et al. 10.1080/01431161.2021.1999529
- North Atlantic and the Barents Sea variability contribute to the 2023 extreme fire season in Canada G. Liu et al. 10.1073/pnas.2414241121
- Recovery Following Recurrent Fires Across Mediterranean Ecosystems T. Ermitão et al. 10.1111/gcb.70013
- Assessing satellite-derived fire patches with functional diversity trait methods M. Moreno et al. 10.1016/j.rse.2020.111897
- 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
- Equations to Predict Carbon Monoxide Emissions from Amazon Rainforest Fires S. Gallup et al. 10.3390/fire7120477
- Air quality changes in Ukraine during the April 2020 wildfire event M. Savenets et al. 10.5937/gp24-27436
- Increased Amazon carbon emissions mainly from decline in law enforcement L. Gatti et al. 10.1038/s41586-023-06390-0
- Climate change, fire return intervals and the growing risk of permanent forest loss in boreal Eurasia A. Burrell et al. 10.1016/j.scitotenv.2022.154885
Latest update: 23 Apr 2025
Short summary
We estimate the uncertainties associated with three global satellite-derived burned area estimates. The method provides unique uncertainties for the three estimates at the global scale for 2001–2013. We find uncertainties of 4 %–5.5 % in global burned area and uncertainties of 8 %–10 % in the frequently burning regions of Africa and Australia.
We estimate the uncertainties associated with three global satellite-derived burned area...
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