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Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire

dc.contributor.authorFernández Guisuraga, J. M.
dc.contributor.authorVerrelst, J.
dc.contributor.authorCalvo, L.
dc.contributor.authorSuárez Seoane, Susana 
dc.date.accessioned2021-07-26T07:51:07Z
dc.date.available2021-07-26T07:51:07Z
dc.date.issued2021
dc.identifier.citationRemote Sensing of Environment, 255 (2021); doi:10.1016/j.rse.2021.112304
dc.identifier.issn0034-4257
dc.identifier.urihttp://hdl.handle.net/10651/60099
dc.description.sponsorshipThis study was financially supported by the Spanish Ministry of Economy and Competitiveness, and the European Regional Development Fund (ERDF), in the framework of the GESFIRE (AGL2013-48189-C2-1-R) and FIRESEVES (AGL2017-86075-C2-1-R) projects; and by the Regional Government of Castilla and León in the framework of the FIRECYL (LE033U14), SEFIRECYL (LE001P17) and WUIFIRECYL (LE005P20) projects. J. M. Fernández Guisuraga is supported by a predoctoral fellowship from the Spanish Ministry of Education (FPU16/03070). J. Verrelst is supported by the European Research Council (ERC) under the ERC-2017-STG SENTIFLEX project (755617).
dc.language.isoeng
dc.relation.ispartofRemote Sensing of Environment
dc.rights© 2021 Elsevier Inc.
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099644174&doi=10.1016%2fj.rse.2021.112304&partnerID=40&md5=841241567dd61408733a6ab55b9e4325
dc.titleHybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire
dc.typejournal article
dc.identifier.doi10.1016/j.rse.2021.112304
dc.relation.projectIDMINECO/ERDF/AGL2013-48189-C2-1-R
dc.relation.projectIDMINECO/ERDF/AGL2017-86075-C2-1-R
dc.relation.projectIDFPU16/03070
dc.relation.projectIDinfo:eu‐repo/grantAgreement/EC/H2020/755617
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.rse.2021.112304
dc.rights.accessRightsopen access
dc.type.hasVersionAM
dc.type.hasVersionAM


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