Articles | Volume 12, issue 4
https://doi.org/10.5194/essd-12-3229-2020
© Author(s) 2020. 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-12-3229-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
08 Dec 2020
Data description paper |
| 08 Dec 2020
| 08 Dec 2020
Development of a standard database of reference sites for validating global burned area products
Environmental Remote Sensing Research Group, Department of Geology,
Geography and the Environment, Universidad de Alcalá, Calle Colegios 2,
Alcalá de Henares, 28801, Spain
Melanie K. Vanderhoof
Geosciences and Environmental Change Science
Center, U.S. Geological Survey, P.O. Box 25046, DFC, MS980, Denver, CO 80225, United States
Dimitris Stavrakoudis
Laboratory of Forest Management and Remote Sensing, School of Forestry
and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 248,
54124 Thessaloniki, Greece
Ioannis Z. Gitas
Laboratory of Forest Management and Remote Sensing, School of Forestry
and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 248,
54124 Thessaloniki, Greece
Ekhi Roteta
Department of Mining and Metallurgical Engineering and Materials
Science, School of Engineering of Vitoria-Gasteiz, University of the Basque
Country UPV/EHU, Nieves Cano 12, Vitoria-Gasteiz, 01006, Spain
Marc Padilla
Centre for Landscape and Climate Research, Department of Geography,
University of Leicester, Leicester LEI 17RH, United Kingdom
Space Division, Starlab Barcelona, Avda. Tibidabo 47 bis,
Barcelona, 08035, Spain
Emilio Chuvieco
Environmental Remote Sensing Research Group, Department of Geology,
Geography and the Environment, Universidad de Alcalá, Calle Colegios 2,
Alcalá de Henares, 28801, Spain
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Cited
31 citations as recorded by crossref.
- Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine E. Roteta et al. 10.3390/rs13040816
- Accuracy estimation of two global burned area products at national scale T. Katagis & I. Gitas 10.1088/1755-1315/932/1/012001
- Reference Data Accuracy Impacts Burned Area Product Validation: The Role of the Expert Analyst M. Franquesa et al. 10.3390/rs14174354
- Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. 10.1016/j.scitotenv.2024.169929
- High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
- An automatic procedure for mapping burned areas globally using Sentinel-2 and VIIRS/MODIS active fires in Google Earth Engine A. Bastarrika et al. 10.1016/j.isprsjprs.2024.08.019
- Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat A. Chan et al. 10.3390/rs15061489
- A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences M. Zanetti 10.1109/TGRS.2023.3301056
- Quantifying the accuracies of six 30-m cropland datasets over China: A comparison and evaluation analysis C. Zhang et al. 10.1016/j.compag.2022.106946
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires J. Lizundia-Loiola et al. 10.1016/j.rse.2022.113298
- Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
- Active fire-based dating accuracy for Landsat burned area maps is high in boreal and Mediterranean biomes and low in grasslands and savannas A. Neves et al. 10.1016/j.isprsjprs.2024.02.014
- Comparative Analysis between Remote Sensing Burned Area Products in Brazil: A Case Study in an Environmentally Unstable Watershed J. da Silva Junior et al. 10.3390/fire7070238
- Assessment and characterization of sources of error impacting the accuracy of global burned area products M. Franquesa et al. 10.1016/j.rse.2022.113214
- Object-Based Validation of a Sentinel-2 Burned Area Product Using Ground-Based Burn Polygons L. Pulvirenti et al. 10.1109/JSTARS.2023.3316303
- Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. 10.5194/essd-15-5227-2023
- Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. 10.3390/rs16132500
- Burned area detection from a single satellite image using an adaptive thresholds algorithm Q. Duan et al. 10.1080/17538947.2024.2376275
- Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine J. Hall et al. 10.1016/j.jag.2021.102443
- A Landsat-based atlas of monthly burned area for Portugal, 1984–2021 A. Neves et al. 10.1016/j.jag.2023.103321
- Multi-Sensor, Active Fire-Supervised, One-Class Burned Area Mapping in the Brazilian Savanna A. Pereira et al. 10.3390/rs13194005
- A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine E. Roteta et al. 10.3390/rs13214298
- A System for Burned Area Detection on Multispectral Imagery M. Zanetti et al. 10.1109/TGRS.2021.3110280
- Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
- Sentinel-2 sampling design and reference fire perimeters to assess accuracy of Burned Area products over Sub-Saharan Africa for the year 2019 D. Stroppiana et al. 10.1016/j.isprsjprs.2022.07.015
- Fire Regime Analysis in Lebanon (2001–2020): Combining Remote Sensing Data in a Scarcely Documented Area G. Majdalani et al. 10.3390/fire5050141
- Using the Landsat Burned Area Products to Derive Fire History Relevant for Fire Management and Conservation in the State of Florida, Southeastern USA C. Teske et al. 10.3390/fire4020026
- Remote sensing for wildfire monitoring: Insights into burned area, emissions, and fire dynamics Y. Chen et al. 10.1016/j.oneear.2024.05.014
- Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019 J. Gonzalez-Ibarzabal et al. 10.3390/rs16071166
- GloCAB: global cropland burned area from mid-2002 to 2020 J. Hall et al. 10.5194/essd-16-867-2024
31 citations as recorded by crossref.
- Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine E. Roteta et al. 10.3390/rs13040816
- Accuracy estimation of two global burned area products at national scale T. Katagis & I. Gitas 10.1088/1755-1315/932/1/012001
- Reference Data Accuracy Impacts Burned Area Product Validation: The Role of the Expert Analyst M. Franquesa et al. 10.3390/rs14174354
- Madagascar's burned area from Sentinel-2 imagery (2016–2022): Four times higher than from lower resolution sensors V. Fernández-García et al. 10.1016/j.scitotenv.2024.169929
- High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
- An automatic procedure for mapping burned areas globally using Sentinel-2 and VIIRS/MODIS active fires in Google Earth Engine A. Bastarrika et al. 10.1016/j.isprsjprs.2024.08.019
- Reconstructing 34 Years of Fire History in the Wet, Subtropical Vegetation of Hong Kong Using Landsat A. Chan et al. 10.3390/rs15061489
- A One-Class Classification Model for Burned-Area Detection Based on Mutual Ordering of Normalized Differences M. Zanetti 10.1109/TGRS.2023.3301056
- Quantifying the accuracies of six 30-m cropland datasets over China: A comparison and evaluation analysis C. Zhang et al. 10.1016/j.compag.2022.106946
- Using long temporal reference units to assess the spatial accuracy of global satellite-derived burned area products M. Franquesa et al. 10.1016/j.rse.2021.112823
- Global burned area mapping from Sentinel-3 Synergy and VIIRS active fires J. Lizundia-Loiola et al. 10.1016/j.rse.2022.113298
- Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa B. Ouattara et al. 10.1016/j.srs.2024.100165
- Active fire-based dating accuracy for Landsat burned area maps is high in boreal and Mediterranean biomes and low in grasslands and savannas A. Neves et al. 10.1016/j.isprsjprs.2024.02.014
- Comparative Analysis between Remote Sensing Burned Area Products in Brazil: A Case Study in an Environmentally Unstable Watershed J. da Silva Junior et al. 10.3390/fire7070238
- Assessment and characterization of sources of error impacting the accuracy of global burned area products M. Franquesa et al. 10.1016/j.rse.2022.113214
- Object-Based Validation of a Sentinel-2 Burned Area Product Using Ground-Based Burn Polygons L. Pulvirenti et al. 10.1109/JSTARS.2023.3316303
- Multi-decadal trends and variability in burned area from the fifth version of the Global Fire Emissions Database (GFED5) Y. Chen et al. 10.5194/essd-15-5227-2023
- Forty-Year Fire History Reconstruction from Landsat Data in Mediterranean Ecosystems of Algeria following International Standards M. Kouachi et al. 10.3390/rs16132500
- Burned area detection from a single satellite image using an adaptive thresholds algorithm Q. Duan et al. 10.1080/17538947.2024.2376275
- Validation of MCD64A1 and FireCCI51 cropland burned area mapping in Ukraine J. Hall et al. 10.1016/j.jag.2021.102443
- A Landsat-based atlas of monthly burned area for Portugal, 1984–2021 A. Neves et al. 10.1016/j.jag.2023.103321
- Multi-Sensor, Active Fire-Supervised, One-Class Burned Area Mapping in the Brazilian Savanna A. Pereira et al. 10.3390/rs13194005
- A Preliminary Global Automatic Burned-Area Algorithm at Medium Resolution in Google Earth Engine E. Roteta et al. 10.3390/rs13214298
- A System for Burned Area Detection on Multispectral Imagery M. Zanetti et al. 10.1109/TGRS.2021.3110280
- Assessing the Accuracy of MODIS MCD64A1 C6 and FireCCI51 Burned Area Products in Mediterranean Ecosystems T. Katagis & I. Gitas 10.3390/rs14030602
- Sentinel-2 sampling design and reference fire perimeters to assess accuracy of Burned Area products over Sub-Saharan Africa for the year 2019 D. Stroppiana et al. 10.1016/j.isprsjprs.2022.07.015
- Fire Regime Analysis in Lebanon (2001–2020): Combining Remote Sensing Data in a Scarcely Documented Area G. Majdalani et al. 10.3390/fire5050141
- Using the Landsat Burned Area Products to Derive Fire History Relevant for Fire Management and Conservation in the State of Florida, Southeastern USA C. Teske et al. 10.3390/fire4020026
- Remote sensing for wildfire monitoring: Insights into burned area, emissions, and fire dynamics Y. Chen et al. 10.1016/j.oneear.2024.05.014
- Sentinel-2 Reference Fire Perimeters for the Assessment of Burned Area Products over Latin America and the Caribbean for the Year 2019 J. Gonzalez-Ibarzabal et al. 10.3390/rs16071166
- GloCAB: global cropland burned area from mid-2002 to 2020 J. Hall et al. 10.5194/essd-16-867-2024
Latest update: 13 Dec 2024
Short summary
The article presents a database of reference sites for the validation of burned area products. We have compiled 2661 reference files from different international projects. The paper describes the methods used to generate and standardize the data. The Burned Area Reference Data (BARD) is publicly available and will facilitate the arduous task of validating burned area algorithms.
The article presents a database of reference sites for the validation of burned area products....
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