Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?

24 Pág.

Detalhes bibliográficos
Autores: Fernández-Manso, Alfonso, Quintano, Carmen, Roberts, Dar A.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/342951
Acesso em linha:http://hdl.handle.net/10261/342951
https://api.elsevier.com/content/abstract/scopus_id/85081887716
Access Level:acceso abierto
Palavra-chave:Burn severity
dNBR
Energy balance
Evapotranspiration
Land surface albedo
Land surface temperature
Landsat
Mediterranean
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spelling Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?Fernández-Manso, AlfonsoQuintano, CarmenRoberts, Dar A.Burn severitydNBREnergy balanceEvapotranspirationLand surface albedoLand surface temperatureLandsatMediterranean24 Pág.Forest managers rely on accurate burn severity estimates to evaluate post-fire damage and to establish revegetation policies. Burn severity estimates based on reflective data acquired from sensors onboard satellites are increasingly complementing field-based ones. However, fire not only induces changes in reflected and emitted radiation measured by the sensor, but also on energy balance. Evapotranspiration (ET), land surface temperature (LST) and land surface albedo (LSA) are greatly affected by wildfires. In this study, we examine the usefulness of these elements of energy balance as indicators of burn severity and compare the accuracy of burn severity estimates based on them to the accuracy of widely used approaches based on spectral indexes. We studied a mega-fire (more than 450 km2 burned) in Central Portugal, which occurred from 17 to 24 June 2017. The offcial burn severity map acted as a ground reference. Variations induced by fire during the first year following the fire event were evaluated through changes in ET, LST and LSA derived from Landsat data and related to burn severity. Fisher's least significant difference test (ANOVA) revealed that ET and LST images could discriminate three burn severity levels with statistical significance (uni-temporal and multi-temporal approaches). Burn severity was estimated from ET, LST and LSA using thresholding. Accuracy of ET and LST based on burn severity estimates was adequate (k = 0.63 and 0.57, respectively), similar to the accuracy of the estimate based on dNBR (k = 0.66). We conclude that Landsat-derived surface energy balance variables, in particular ET and LST, in addition to acting as useful indicators of burn severity for mega-fires in Mediterranean ecosystems, may provide critical information about how energy balance changes due to fire.This research was funded by the Spanish Ministry of Economy and Competitiveness (FIRESEVES project, AGL2017-86075-C2-1-R), and the Regional Government of Castile and León (SEFIRECYL project, LE001P17).Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Economía y Competitividad (España)Junta de Castilla y LeónFernández-Manso, Alfonso [0000-0002-6255-5904]Quintano, Carmen [0000-0001-6204-2319]Roberts, Dar A. [0000-0002-3555-4842]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242020info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/342951https://api.elsevier.com/content/abstract/scopus_id/85081887716reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86075-C2-1-RInstituto de Ciencias Forestales (ICIFOR)https://doi.org/10.3390/rs12050890Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3429512026-05-22T06:33:51Z
dc.title.none.fl_str_mv Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
title Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
spellingShingle Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
Fernández-Manso, Alfonso
Burn severity
dNBR
Energy balance
Evapotranspiration
Land surface albedo
Land surface temperature
Landsat
Mediterranean
title_short Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
title_full Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
title_fullStr Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
title_full_unstemmed Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
title_sort Can landsat-derived variables related to energy balance improve understanding of burn severity from current operational techniques?
dc.creator.none.fl_str_mv Fernández-Manso, Alfonso
Quintano, Carmen
Roberts, Dar A.
author Fernández-Manso, Alfonso
author_facet Fernández-Manso, Alfonso
Quintano, Carmen
Roberts, Dar A.
author_role author
author2 Quintano, Carmen
Roberts, Dar A.
author2_role author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
Junta de Castilla y León
Fernández-Manso, Alfonso [0000-0002-6255-5904]
Quintano, Carmen [0000-0001-6204-2319]
Roberts, Dar A. [0000-0002-3555-4842]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Burn severity
dNBR
Energy balance
Evapotranspiration
Land surface albedo
Land surface temperature
Landsat
Mediterranean
topic Burn severity
dNBR
Energy balance
Evapotranspiration
Land surface albedo
Land surface temperature
Landsat
Mediterranean
description 24 Pág.
publishDate 2020
dc.date.none.fl_str_mv 2020
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/342951
https://api.elsevier.com/content/abstract/scopus_id/85081887716
url http://hdl.handle.net/10261/342951
https://api.elsevier.com/content/abstract/scopus_id/85081887716
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2017-86075-C2-1-R
Instituto de Ciencias Forestales (ICIFOR)
https://doi.org/10.3390/rs12050890
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,812455

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