{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:36:13Z","timestamp":1776108973935,"version":"3.50.1"},"reference-count":102,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T00:00:00Z","timestamp":1614038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Four burned area tools were implemented in Google Earth Engine (GEE), to obtain regular processes related to burned area (BA) mapping, using medium spatial resolution sensors (Landsat and Sentinel-2). The four tools are (i) the BA Cartography tool for supervised burned area over the user-selected extent and period, (ii) two tools implementing a BA stratified random sampling to select the scenes and dates for validation, and (iii) the BA Reference Perimeter tool to obtain highly accurate BA maps that focus on validating coarser BA products. Burned Area Mapping Tools (BAMTs) go beyond the previously implemented Burned Area Mapping Software (BAMS) because of GEE parallel processing capabilities and preloaded geospatial datasets. BAMT also allows temporal image composites to be exploited in order to obtain BA maps over a larger extent and longer temporal periods. The tools consist of four scripts executable from the GEE Code Editor. The tools\u2019 performance was discussed in two case studies: in the 2019\/2020 fire season in Southeast Australia, where the BA cartography detected more than 50,000 km2, using Landsat data with commission and omission errors below 12% when compared to Sentinel-2 imagery; and in the 2018 summer wildfires in Canada, where it was found that around 16,000 km2 had burned.<\/jats:p>","DOI":"10.3390\/rs13040816","type":"journal-article","created":{"date-parts":[[2021,2,23]],"date-time":"2021-02-23T20:19:36Z","timestamp":1614111576000},"page":"816","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":73,"title":["Landsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Engine"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3722-2104","authenticated-orcid":false,"given":"Ekhi","family":"Roteta","sequence":"first","affiliation":[{"name":"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, 01006 Vitoria-Gasteiz, Spain"}]},{"given":"Aitor","family":"Bastarrika","sequence":"additional","affiliation":[{"name":"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, 01006 Vitoria-Gasteiz, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3101-0394","authenticated-orcid":false,"given":"Mag\u00ed","family":"Franquesa","sequence":"additional","affiliation":[{"name":"Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcal\u00e1, C\/Colegios 2, 28801 Alcal\u00e1 de Henares, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5618-4759","authenticated-orcid":false,"given":"Emilio","family":"Chuvieco","sequence":"additional","affiliation":[{"name":"Environmental Remote Sensing Research Group, Department of Geology, Geography and the Environment, Universidad de Alcal\u00e1, C\/Colegios 2, 28801 Alcal\u00e1 de Henares, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"697","DOI":"10.5194\/essd-9-697-2017","article-title":"Global fire emissions estimates during 1997\u20132016","volume":"9","author":"Randerson","year":"2017","journal-title":"Earth Syst. 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