Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models

16 Pág.

Detalles Bibliográficos
Autores: Quintano, Carmen, Fernández-Manso, Alfonso, Fernández-Guisuraga, José Manuel, Roberts, Dar A.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/369891
Acceso en línea:http://hdl.handle.net/10261/369891
https://api.elsevier.com/content/abstract/scopus_id/85183316553
Access Level:acceso abierto
Palabra clave:eeMETRIC
Evapotranspiration
Fire severity
Mediterranean
SSEBop
id ES_e8bf631968eeae7d2f4c932e45d4c683
oai_identifier_str oai:digital.csic.es:10261/369891
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
title Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
spellingShingle Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
Quintano, Carmen
eeMETRIC
Evapotranspiration
Fire severity
Mediterranean
SSEBop
title_short Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
title_full Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
title_fullStr Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
title_full_unstemmed Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
title_sort Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration Models
dc.creator.none.fl_str_mv Quintano, Carmen
Fernández-Manso, Alfonso
Fernández-Guisuraga, José Manuel
Roberts, Dar A.
author Quintano, Carmen
author_facet Quintano, Carmen
Fernández-Manso, Alfonso
Fernández-Guisuraga, José Manuel
Roberts, Dar A.
author_role author
author2 Fernández-Manso, Alfonso
Fernández-Guisuraga, José Manuel
Roberts, Dar A.
author2_role author
author
author
dc.contributor.none.fl_str_mv Ministerio de Ciencia e Innovación (España)
Agencia Estatal de Investigación (España)
Junta de Castilla y León
Fundação para a Ciência e a Tecnologia (Portugal)
University of California
Ministerio de Educación (España)
Fundación Ramón Areces
Quintano, Carmen [0000-0001-6204-2319]
Fernández-Manso, Alfonso [0000-0002-6255-5904]
Fernández-Guisuraga, José Manuel [0000-0002-6065-3981]
Roberts, Dar A. [0000-0002-3555-4842]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv eeMETRIC
Evapotranspiration
Fire severity
Mediterranean
SSEBop
topic eeMETRIC
Evapotranspiration
Fire severity
Mediterranean
SSEBop
description 16 Pág.
publishDate 2024
dc.date.none.fl_str_mv 2024
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/10261/369891
https://api.elsevier.com/content/abstract/scopus_id/85183316553
url http://hdl.handle.net/10261/369891
https://api.elsevier.com/content/abstract/scopus_id/85183316553
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 2021-2023/PID2022-139156OB-C21
Remote Sensing
https://doi.org/10.3390/rs16020361
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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spelling Improving Fire Severity Analysis in Mediterranean Environments: A Comparative Study of eeMETRIC and SSEBop Landsat-Based Evapotranspiration ModelsQuintano, CarmenFernández-Manso, AlfonsoFernández-Guisuraga, José ManuelRoberts, Dar A.eeMETRICEvapotranspirationFire severityMediterraneanSSEBop16 Pág.Wildfires represent a significant threat to both ecosystems and human assets in Mediterranean countries, where fire occurrence is frequent and often devastating. Accurate assessments of the initial fire severity are required for management and mitigation efforts of the negative impacts of fire. Evapotranspiration (ET) is a crucial hydrological process that links vegetation health and water availability, making it a valuable indicator for understanding fire dynamics and ecosystem recovery after wildfires. This study uses the Mapping Evapotranspiration at High Resolution with Internalized Calibration (eeMETRIC) and Operational Simplified Surface Energy Balance (SSEBop) ET models based on Landsat imagery to estimate fire severity in five large forest fires that occurred in Spain and Portugal in 2022 from two perspectives: uni- and bi-temporal (post/pre-fire ratio). Using-fine-spatial resolution ET is particularly relevant for heterogeneous Mediterranean landscapes with different vegetation types and water availability. ET was significantly affected by fire severity according to eeMETRIC (F > 431.35; p-value < 0.001) and SSEBop (F > 373.83; p-value < 0.001) metrics, with reductions of 61.46% and 63.92%, respectively, after the wildfire event. A Random Forest machine learning algorithm was used to predict fire severity. We achieved higher accuracy (0.60 < Kappa < 0.67) when employing both ET models (eeMETRIC and SSEBop) as predictors compared to utilizing the conventional differenced Normalized Burn Ratio (dNBR) index, which resulted in a Kappa value of 0.46. We conclude that both fine resolution ET models are valid to be used as indicators of fire severity in Mediterranean countries. This research highlights the importance of Landsat-based ET models as accurate tools to improve the initial analysis of fire severity in Mediterranean countries.This study was financially supported by the Spanish Ministry of Science and Innovation in the framework of the LANDSUSFIRE project (PID2022-139156OB-C21) within the National Program for the Promotion of Scientific–Technical Research (2021–2023); by the Regional Government of Castile and León in the framework of the WUIFIRECYL project (LE005P20); and by the Portuguese Foundation for Science and Technology in the frame of project UIDB/04033/2020. A. Fernández-Manso and C. Quintano were supported as research visitors at VIPER Lab. (University of California, Santa Barbara) by a Spanish Education Ministry grant (Salvador de Madariaga program, codes PRX22/00305 and PRX22/00307, respectively). José Manuel Fernández-Guisuraga was supported by a Ramón Areces Foundation postdoctoral fellowship.Peer reviewedMultidisciplinary Digital Publishing InstituteMinisterio de Ciencia e Innovación (España)Agencia Estatal de Investigación (España)Junta de Castilla y LeónFundação para a Ciência e a Tecnologia (Portugal)University of CaliforniaMinisterio de Educación (España)Fundación Ramón ArecesQuintano, Carmen [0000-0001-6204-2319]Fernández-Manso, Alfonso [0000-0002-6255-5904]Fernández-Guisuraga, José Manuel [0000-0002-6065-3981]Roberts, Dar A. [0000-0002-3555-4842]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/369891https://api.elsevier.com/content/abstract/scopus_id/85183316553reponame: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 2021-2023/PID2022-139156OB-C21Remote Sensinghttps://doi.org/10.3390/rs16020361Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3698912026-05-22T06:33:51Z
score 15,81155

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