Articles | Volume 13, issue 5
https://doi.org/10.5194/essd-13-1925-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-1925-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description article
| 
08 May 2021
Data description article |
| 08 May 2021
| 08 May 2021
MOSEV: a global burn severity database from MODIS (2000–2020)
Esteban Alonso-González
Instituto Pirenaico de Ecología, Spanish Research Council
(IPE-CSIC), Zaragoza, 50059, Spain
Ecology, Department of Biodiversity and Environmental Management, Faculty of Biological and Environmental Sciences, University of León, León, 24071, Spain
Viewed
Total article views: 5,736 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Nov 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,109 | 1,464 | 163 | 5,736 | 197 | 231 |
- HTML: 4,109
- PDF: 1,464
- XML: 163
- Total: 5,736
- BibTeX: 197
- EndNote: 231
Total article views: 5,044 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 08 May 2021)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 3,719 | 1,179 | 146 | 5,044 | 177 | 211 |
- HTML: 3,719
- PDF: 1,179
- XML: 146
- Total: 5,044
- BibTeX: 177
- EndNote: 211
Total article views: 692 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 Nov 2020)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 390 | 285 | 17 | 692 | 20 | 20 |
- HTML: 390
- PDF: 285
- XML: 17
- Total: 692
- BibTeX: 20
- EndNote: 20
Viewed (geographical distribution)
Total article views: 5,736 (including HTML, PDF, and XML)
Thereof 5,402 with geography defined
and 334 with unknown origin.
Total article views: 5,044 (including HTML, PDF, and XML)
Thereof 4,823 with geography defined
and 221 with unknown origin.
Total article views: 692 (including HTML, PDF, and XML)
Thereof 579 with geography defined
and 113 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
36 citations as recorded by crossref.
- Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000–2022) M. Vanderhoof et al. https://doi.org/10.1071/WF24137
- Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models X. Hu et al. https://doi.org/10.1016/j.isprsjprs.2022.12.026
- Space-Based Earth Observations on Hotspots of Atmospheric NO2 over India Using Google Earth Engine: An Open-Source Cloud Platform A. Bandary et al. https://doi.org/10.1007/s12524-024-02071-1
- Multidecadal satellite-derived Portuguese Burn Severity Atlas (1984–2022) D. Jahanianfard et al. https://doi.org/10.5194/essd-17-4957-2025
- Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. https://doi.org/10.1016/j.scitotenv.2024.169929
- A survival guide for assessing global fire risks to natural and human systems C. Steinmann et al. https://doi.org/10.1016/j.ijdrr.2026.106140
- Refining historical burned area data from satellite observations V. Fernández-García & C. Kull https://doi.org/10.1016/j.jag.2023.103350
- Multi-source tri-environmental conceptual framework for fire impact analysis Z. Li et al. https://doi.org/10.1007/s44212-024-00063-7
- Impact of large kernel size on yield prediction: a case study of corn yield prediction with SEDLA in the U.S. Corn Belt A. Terliksiz & D. Altilar https://doi.org/10.1088/2515-7620/ad27fa
- Optimising fire severity mapping using pixel-based image compositing N. Quintero et al. https://doi.org/10.1016/j.rse.2025.114687
- Characterizing spatial burn severity patterns of 2016 Chimney Tops 2 fire using multi-temporal Landsat and NEON LiDAR data T. Park & S. Sim https://doi.org/10.3389/frsen.2023.1096000
- Characterizing Fire-Induced Forest Structure and Aboveground Biomass Changes in Boreal Forests Using Multitemporal Lidar and Landsat T. Feng et al. https://doi.org/10.1109/JSTARS.2024.3400218
- Protected areas as hotspots of wildfire activity in fire-prone Temperate and Mediterranean biomes V. Resco de Dios et al. https://doi.org/10.1016/j.jenvman.2025.125669
- Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios L. Vallet et al. https://doi.org/10.5194/bg-22-213-2025
- Global Patterns and Dynamics of Burned Area and Burn Severity V. Fernández-García & E. Alonso-González https://doi.org/10.3390/rs15133401
- A global forest burn severity dataset from Landsat imagery (2003–2016) K. He et al. https://doi.org/10.5194/essd-16-3061-2024
- Higher burn severity stimulates postfire vegetation and carbon recovery in California L. Qiu et al. https://doi.org/10.1016/j.agrformet.2023.109750
- Predicting potential wildfire severity across Southern Europe with global data sources V. Fernández-García et al. https://doi.org/10.1016/j.scitotenv.2022.154729
- Drought effect on spectral response and burn assessments in tropical environments M. Vasquez Hernandez et al. https://doi.org/10.1016/j.jag.2026.105376
- Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey O. Yilmaz et al. https://doi.org/10.1007/s11355-023-00545-x
- Fire severity shows limited dependence on fuel structure under adverse fire weather conditions: a case study of two extreme wildfire events J. Fernández-Guisuraga & L. Calvo https://doi.org/10.1186/s42408-025-00371-6
- Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe V. Fernández-García et al. https://doi.org/10.1016/j.landurbplan.2022.104646
- Open Access to Burn Severity Data—A Web-Based Portal for Mainland Portugal P. Castro et al. https://doi.org/10.3390/fire8030095
- Diverse wildfire impacts on river flows across the globe M. Grillakis & A. Voulgarakis https://doi.org/10.1038/s43247-025-02419-6
- Global estimation of post-fire soil erosion D. Vieira et al. https://doi.org/10.1038/s41561-025-01876-0
- Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal J. Fernández-Guisuraga & P. Fernandes https://doi.org/10.3390/rs15030768
- Molecular insights and impacts of wildfire-induced soil chemical changes A. Lopez et al. https://doi.org/10.1038/s43017-024-00548-8
- Response of active layer thickening to wildfire in the pan-Arctic region: Permafrost type and vegetation type influences X. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.166132
- Widespread and systematic effects of fire on plant–soil water relations M. Baur et al. https://doi.org/10.1038/s41561-024-01563-6
- Constructing a Comprehensive National Wildfire Database from Incomplete Sources: Israel as a Case Study E. Guk et al. https://doi.org/10.3390/fire6040131
- Accelerated land surface greening caused by earlier permafrost thawing H. Hua et al. https://doi.org/10.1038/s41467-025-67644-1
- Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance X. Jiang et al. https://doi.org/10.1016/j.gloplacha.2025.105030
- Offsetting the noise: a framework for applying phenological offset corrections in remotely sensed burn severity assessments C. Menick et al. https://doi.org/10.1071/WF25066
- Improved assessment of post-fire recovery trajectory of forests in Amazon's protected areas Q. Wu et al. https://doi.org/10.1016/j.rse.2025.114802
- Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management C. Vidal-Riveros et al. https://doi.org/10.3390/fire7100347
- Urban Heatwave Dynamics in Lagos State: Evidence from the Analysis of Land Surface Temperature Trends and Land Cover Changes (2000–2022) F. Ikuemonisan et al. https://doi.org/10.1007/s41748-025-00644-9
36 citations as recorded by crossref.
- Modelling and mapping burn severity of prescribed and wildfires across the southeastern United States (2000–2022) M. Vanderhoof et al. https://doi.org/10.1071/WF24137
- Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models X. Hu et al. https://doi.org/10.1016/j.isprsjprs.2022.12.026
- Space-Based Earth Observations on Hotspots of Atmospheric NO2 over India Using Google Earth Engine: An Open-Source Cloud Platform A. Bandary et al. https://doi.org/10.1007/s12524-024-02071-1
- Multidecadal satellite-derived Portuguese Burn Severity Atlas (1984–2022) D. Jahanianfard et al. https://doi.org/10.5194/essd-17-4957-2025
- Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. https://doi.org/10.1016/j.scitotenv.2024.169929
- A survival guide for assessing global fire risks to natural and human systems C. Steinmann et al. https://doi.org/10.1016/j.ijdrr.2026.106140
- Refining historical burned area data from satellite observations V. Fernández-García & C. Kull https://doi.org/10.1016/j.jag.2023.103350
- Multi-source tri-environmental conceptual framework for fire impact analysis Z. Li et al. https://doi.org/10.1007/s44212-024-00063-7
- Impact of large kernel size on yield prediction: a case study of corn yield prediction with SEDLA in the U.S. Corn Belt A. Terliksiz & D. Altilar https://doi.org/10.1088/2515-7620/ad27fa
- Optimising fire severity mapping using pixel-based image compositing N. Quintero et al. https://doi.org/10.1016/j.rse.2025.114687
- Characterizing spatial burn severity patterns of 2016 Chimney Tops 2 fire using multi-temporal Landsat and NEON LiDAR data T. Park & S. Sim https://doi.org/10.3389/frsen.2023.1096000
- Characterizing Fire-Induced Forest Structure and Aboveground Biomass Changes in Boreal Forests Using Multitemporal Lidar and Landsat T. Feng et al. https://doi.org/10.1109/JSTARS.2024.3400218
- Protected areas as hotspots of wildfire activity in fire-prone Temperate and Mediterranean biomes V. Resco de Dios et al. https://doi.org/10.1016/j.jenvman.2025.125669
- Soil smoldering in temperate forests: a neglected contributor to fire carbon emissions revealed by atmospheric mixing ratios L. Vallet et al. https://doi.org/10.5194/bg-22-213-2025
- Global Patterns and Dynamics of Burned Area and Burn Severity V. Fernández-García & E. Alonso-González https://doi.org/10.3390/rs15133401
- A global forest burn severity dataset from Landsat imagery (2003–2016) K. He et al. https://doi.org/10.5194/essd-16-3061-2024
- Higher burn severity stimulates postfire vegetation and carbon recovery in California L. Qiu et al. https://doi.org/10.1016/j.agrformet.2023.109750
- Predicting potential wildfire severity across Southern Europe with global data sources V. Fernández-García et al. https://doi.org/10.1016/j.scitotenv.2022.154729
- Drought effect on spectral response and burn assessments in tropical environments M. Vasquez Hernandez et al. https://doi.org/10.1016/j.jag.2026.105376
- Evaluation of pre- and post-fire flood risk by analytical hierarchy process method: a case study for the 2021 wildfires in Bodrum, Turkey O. Yilmaz et al. https://doi.org/10.1007/s11355-023-00545-x
- Fire severity shows limited dependence on fuel structure under adverse fire weather conditions: a case study of two extreme wildfire events J. Fernández-Guisuraga & L. Calvo https://doi.org/10.1186/s42408-025-00371-6
- Building patterns and fuel features drive wildfire severity in wildland-urban interfaces in Southern Europe V. Fernández-García et al. https://doi.org/10.1016/j.landurbplan.2022.104646
- Open Access to Burn Severity Data—A Web-Based Portal for Mainland Portugal P. Castro et al. https://doi.org/10.3390/fire8030095
- Diverse wildfire impacts on river flows across the globe M. Grillakis & A. Voulgarakis https://doi.org/10.1038/s43247-025-02419-6
- Global estimation of post-fire soil erosion D. Vieira et al. https://doi.org/10.1038/s41561-025-01876-0
- Using Pre-Fire High Point Cloud Density LiDAR Data to Predict Fire Severity in Central Portugal J. Fernández-Guisuraga & P. Fernandes https://doi.org/10.3390/rs15030768
- Molecular insights and impacts of wildfire-induced soil chemical changes A. Lopez et al. https://doi.org/10.1038/s43017-024-00548-8
- Response of active layer thickening to wildfire in the pan-Arctic region: Permafrost type and vegetation type influences X. Jiang et al. https://doi.org/10.1016/j.scitotenv.2023.166132
- Widespread and systematic effects of fire on plant–soil water relations M. Baur et al. https://doi.org/10.1038/s41561-024-01563-6
- Constructing a Comprehensive National Wildfire Database from Incomplete Sources: Israel as a Case Study E. Guk et al. https://doi.org/10.3390/fire6040131
- Accelerated land surface greening caused by earlier permafrost thawing H. Hua et al. https://doi.org/10.1038/s41467-025-67644-1
- Soil moisture active passive data improve sensitivity assessment of permafrost active layer thickness to wildfire disturbance X. Jiang et al. https://doi.org/10.1016/j.gloplacha.2025.105030
- Offsetting the noise: a framework for applying phenological offset corrections in remotely sensed burn severity assessments C. Menick et al. https://doi.org/10.1071/WF25066
- Improved assessment of post-fire recovery trajectory of forests in Amazon's protected areas Q. Wu et al. https://doi.org/10.1016/j.rse.2025.114802
- Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management C. Vidal-Riveros et al. https://doi.org/10.3390/fire7100347
- Urban Heatwave Dynamics in Lagos State: Evidence from the Analysis of Land Surface Temperature Trends and Land Cover Changes (2000–2022) F. Ikuemonisan et al. https://doi.org/10.1007/s41748-025-00644-9
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
We present the first global burn severity database (MOSEV database), which is based on Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance and burned area products. The database inludes monthly scenes with the dNBR, RdNBR and post-burn NBR spectral indices at 500 m spatial resolution from November 2000 onwards. Moreover, in this work we show that there is a close relationship between the burn severity metrics included in MOSEV and the same ones obtained from Landsat-8.
We present the first global burn severity database (MOSEV database), which is based on Moderate...
Altmetrics
Final-revised paper
Preprint