Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/106044
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dc.contributor.authorMarcello Ruiz, Francisco Javieren_US
dc.contributor.authorEugenio González, Franciscoen_US
dc.contributor.authorGonzalo Martin,Consueloen_US
dc.contributor.authorRodríguez Esparragón, Dionisioen_US
dc.contributor.authorMarques, Ferranen_US
dc.date.accessioned2021-03-22T13:33:34Z-
dc.date.available2021-03-22T13:33:34Z-
dc.date.issued2021en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://hdl.handle.net/10553/106044-
dc.description.abstractCoastal areas are key to sustaining biodiversity, but their complexity and variability makes their analysis challenging. On the other hand, mountain ecosystems include a large percentage of the global biodiversity and their monitoring is essential, as they are especially vulnerable to climate change. In this context, remote sensing offers a cost-effective technology for the conservation of both kinds of natural areas. In this work, multispectral and hyperspectral data recorded by sensors, onboard satellites, aircrafts and remotely piloted aircraft systems (RPAS), have been used for the sustainable management of natural resources. Specifically, a multiplatform methodology has been developed to process multisensor high spatial resolution imagery and the main benefits and drawbacks of each technology have been identified. Advanced processing techniques in each stage of the methodology have been selected to provide accurate and validated benthic and vegetation maps. Two challenging ecosystems, located in Cabrera and Teide National Parks, have been selected for this study. They correspond with a coastal and a mountain island ecosystem, respectively. To address the associated challenges, the use of imagery with the maximum spatial and spectral resolution, provided by Sentinel-2, WorldView-2, CASI and Pika-L, has been considered. Results have been validated with in-situ data and by the National Parks' managers and they have shown the ability of remote sensing to accurately map both Parks when the appropriate imagery and techniques are selected. The best performance was achieved with the Support Vector Machine classifier and, in general, WorldView can be considered the most appropriate platform when factoring in cost, coverage and accuracy.en_US
dc.languageengen_US
dc.relationPROCESADO AVANZADO DE DATOS DE TELEDETECCION PARA LA MONITORIZACION Y GESTION SOSTENIBLE DE RECURSOS MARINOS Y TERRESTRES EN ECOSISTEMAS VULNERABLES (ARTEMISAT-2)en_US
dc.relation.ispartofIEEE Accessen_US
dc.sourceIEEE Access [2169-3536], n. 9, p. 6536-6549en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherBenthic mappingen_US
dc.subject.othermultispectral and hyperspectral imageryen_US
dc.subject.otherremote sensingen_US
dc.subject.othervegetation mappingen_US
dc.titleAdvanced Processing of Multiplatform Remote Sensing Imagery for the Monitoring of Coastal and Mountain Ecosystemsen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typearticleen_US
dc.identifier.doi10.1109/ACCESS.2020.3046657en_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.utils.revisionen_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-TELen_US
dc.description.sjr0,927
dc.description.jcr3,476
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.miaricds10,4
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IOCAG: Procesado de Imágenes y Teledetección-
crisitem.author.deptIU de Oceanografía y Cambio Global-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-9646-1017-
crisitem.author.orcid0000-0002-0010-4024-
crisitem.author.orcid0000-0002-4542-2501-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.parentorgIU de Oceanografía y Cambio Global-
crisitem.author.fullNameMarcello Ruiz, Francisco Javier-
crisitem.author.fullNameEugenio González, Francisco-
crisitem.author.fullNameGonzalo Martin,Consuelo-
crisitem.author.fullNameRodríguez Esparragón, Dionisio-
Colección:Artículos
miniatura
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