Environmental Remote Sensing Research Group, Department of Geology,
Geography and the Environment, Universidad de Alcalá, Calle Colegios 2,
Alcalá de Henares, 28801, Spain
Laboratory of Forest Management and Remote Sensing, School of Forestry
and Natural Environment, Aristotle University of Thessaloniki, P.O. Box 248,
54124 Thessaloniki, Greece
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
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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3,920
1,140
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5,248
217
239
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PDF: 1,140
XML: 188
Total: 5,248
BibTeX: 217
EndNote: 239
Views and downloads (calculated since 27 Apr 2020)
Cumulative views and downloads
(calculated since 27 Apr 2020)
Total article views: 3,936 (including HTML, PDF, and XML)
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3,029
767
140
3,936
162
187
HTML: 3,029
PDF: 767
XML: 140
Total: 3,936
BibTeX: 162
EndNote: 187
Views and downloads (calculated since 08 Dec 2020)
Cumulative views and downloads
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Total article views: 1,312 (including HTML, PDF, and XML)
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891
373
48
1,312
55
52
HTML: 891
PDF: 373
XML: 48
Total: 1,312
BibTeX: 55
EndNote: 52
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Cumulative views and downloads
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Viewed (geographical distribution)
Total article views: 5,248 (including HTML, PDF, and XML)
Thereof 4,705 with geography defined
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Total article views: 3,936 (including HTML, PDF, and XML)
Thereof 3,576 with geography defined
and 360 with unknown origin.
Total article views: 1,312 (including HTML, PDF, and XML)
Thereof 1,129 with geography defined
and 183 with unknown origin.
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....