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Remote sensing techniques to assess post-fire vegetation recovery

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dc.contributor.authorPérez-Cabello, Fernando
dc.contributor.authorMontorio, Raquel
dc.contributor.authorAlves, Daniel Borini [UNESP]
dc.contributor.institutionUniversity of Zaragoza
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2021-06-25T10:28:31Z
dc.date.available2021-06-25T10:28:31Z
dc.date.issued2021-06-01
dc.description.abstractWildfires substantially disrupt and reshape the structure, composition and functioning of ecosystems. Monitoring post-fire recovery dynamics is crucial for evaluating resilience and securing the relevant information that will enhance management and support ecosystem restoration after fires. Compared to the extensive and labour-intensive field campaigns, remote sensing provides a time- and cost-effective tool to monitor post-fire vegetation recovery (PVR). This concise literature review presents tools and recent advances in remote sensing techniques, focusing on the most commonly used sensors and indicators/metrics. It also provides recommendations on the use of these tools for assessing vegetation recovery and on existing gaps regarding technical limitations that could guide future research.en
dc.description.affiliationDepartment of Geography and Spatial Management University of Zaragoza, C/Pedro Cerbuna 12
dc.description.affiliationGEOFOREST-IUCA Research Group Environmental Sciences Institute (IUCA) University of Zaragoza, C/Pedro Cerbuna 12
dc.description.affiliationLaboratory of Vegetation Ecology Instituto de Biociências Universidade Estadual Paulista (UNESP), Avenida 24-A 1515
dc.description.affiliationUnespLaboratory of Vegetation Ecology Instituto de Biociências Universidade Estadual Paulista (UNESP), Avenida 24-A 1515
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipUniversidad de Zaragoza
dc.description.sponsorshipIdFAPESP: 2019/07357–8
dc.description.sponsorshipIdUniversidad de Zaragoza: HARMO-LS2
dc.identifierhttp://dx.doi.org/10.1016/j.coesh.2021.100251
dc.identifier.citationCurrent Opinion in Environmental Science and Health, v. 21.
dc.identifier.doi10.1016/j.coesh.2021.100251
dc.identifier.issn2468-5844
dc.identifier.scopus2-s2.0-85104460474
dc.identifier.urihttp://hdl.handle.net/11449/206222
dc.language.isoeng
dc.relation.ispartofCurrent Opinion in Environmental Science and Health
dc.sourceScopus
dc.subjectChange detection
dc.subjectSatellite imagery
dc.subjectSpectral variables
dc.subjectTime series
dc.subjectVegetation regrowth
dc.subjectWildfire
dc.titleRemote sensing techniques to assess post-fire vegetation recoveryen
dc.typeResenha
dspace.entity.typePublication
unesp.author.orcid0000-0001-7403-1764 0000-0001-7403-1764[2]

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