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dc.contributor.authorRoteta Otaegui, Ekhi ORCID
dc.contributor.authorBastarrica Izaguirre, Aitor
dc.contributor.authorFranquesa, Magí
dc.contributor.authorChuvieco, Emilio
dc.date.accessioned2021-03-04T13:15:57Z
dc.date.available2021-03-04T13:15:57Z
dc.date.issued2021-02-23
dc.identifier.citationRemote Sensing 13(4) : (2021) // Article ID 816es_ES
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10810/50480
dc.description.abstractFour 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’ 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.es_ES
dc.description.sponsorshipThis research was funded by the Vice-Rectorate for Research of the University of the Basque Country (UPV/EHU) through a doctoral fellowship (contract no. PIF17/96).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectburned areaes_ES
dc.subjectAustraliaes_ES
dc.subjectCanadaes_ES
dc.subjecttoolses_ES
dc.subjectvalidationes_ES
dc.subjectLandsates_ES
dc.subjectSentinel-2es_ES
dc.subjectGoogle Earth Enginees_ES
dc.titleLandsat and Sentinel-2 Based Burned Area Mapping Tools in Google Earth Enginees_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-02-26T14:51:26Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/13/4/816/htmes_ES
dc.identifier.doi10.3390/rs13040816
dc.departamentoesIngeniería Minera y Metalúrgica y Ciencia de los Materiales
dc.departamentoeuMeatze eta metalurgia ingeniaritza materialen zientzia


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).