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dc.contributorFacultad de Ciencias Biologicas y Ambientaleses_ES
dc.contributor.authorFernández García, Víctor
dc.contributor.authorSantamarta, Mónica
dc.contributor.authorFernández Manso, Alfonso 
dc.contributor.authorQuintano Pastor, Carmen
dc.contributor.authorMarcos Porras, Elena María 
dc.contributor.authorCalvo Galván, María Leonor 
dc.contributor.otherEcologiaes_ES
dc.date2018-03-01
dc.date.accessioned2018-03-15T20:06:55Z
dc.date.available2018-03-15T20:06:55Z
dc.date.issued2018-03-15
dc.identifier.citationRemote sensing of environment, 2018, vol. 206es_ES
dc.identifier.urihttp://hdl.handle.net/10612/7481
dc.descriptionP. 205-217es_ES
dc.description.abstractMultispectral imagery is a widely used source of information to address post-fire ecosystem management. The aim of this study is to evaluate the ability of remotely sensed indices derived from Landsat 8 OLI/TIRS to assess initial burn severity (overall, on vegetation and on soil) in fire-prone pine forests along the Mediterranean-Transition-Oceanic climatic gradient in the Mediterranean Basin. We selected four large wildfires which affected pine forests in a climatic gradient within the Iberian Peninsula. In each wildfire we established CBI plots to obtain field values of three burn severity metrics: site, vegetation and soil burn severity. The ability of 13 spectral indices to match these three field burn severity metrics was compared and their transferability along the climatic gradient assessed using linear regression models. Specifically, we analysed the performance of 12 indices previously used for burn severity assessments (8 reflective, 2 thermal, 2 mixed) and a new reflective index (dNBR-EVI). The results showed that Landsat spectral indices have a greater ability to determine site and vegetation burn severity than soil burn severity. We found large differences in indices performances among the three different climatic regions, since most indices performed better in the Mediterranean and Transition regions than in the Oceanic one. In general, the dNBR-EVI showed the best fit to site, vegetation and soil burn severity in the three regions, demonstrating broad transferability along the entire climatic gradient.es_ES
dc.languageenges_ES
dc.publisherElsevieres_ES
dc.subjectEcología. Medio ambientees_ES
dc.subject.otherComposite Burn Indexes_ES
dc.subject.otherdNBR-EVIes_ES
dc.subject.otherFire severityes_ES
dc.subject.otherPine forestes_ES
dc.subject.otherSpectral indexes_ES
dc.subject.otherMediterraneanes_ES
dc.subject.otherClimatic conditionses_ES
dc.titleBurn severity metrics in fire-prone pine ecosystems along a climatic gradient using Landsat imageryes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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