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dc.contributor.authorGómez, Diego
dc.contributor.authorSalvador González, Pablo 
dc.contributor.authorSanz Justo, María Julia 
dc.contributor.authorCasanova Roque, Carlos 
dc.contributor.authorCasanova Roque, José Luis 
dc.date.accessioned2022-12-22T10:56:47Z
dc.date.available2022-12-22T10:56:47Z
dc.date.issued2018
dc.identifier.citationRemote Sensing, 2018, vol. 10, n. 10, p. 1541es
dc.identifier.issn2072-4292es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/57904
dc.descriptionProducción Científicaes
dc.description.abstractSand dune advances poses a major threat to inhabitants and local authorities in the area of Nouakchott, Mauritania. Despite efforts to control dune mobility, accurate and adequate local studies are still needed to tackle sand encroachment. We have developed a Sand Dune Encroachment Vulnerability Index (SDEVI) to assess Nouakchott’s vulnerability to sand dune encroachment. Said index is based on the geo-physical characteristics of the area (wind direction and intensity, slope and surface height, land use, vegetation or soil properties) with Geographic Information System (GIS) techniques that can support local authorities and decision-makers in implementing preventive measures or reducing impact on the population and urban infrastructures. In order to validate this new index, we use two remote sensing approaches: optical-Sentinel 2 and Synthetic Aperture Radar (SAR)–Sentinel 1 data. Results show that the greatest vulnerability is located in the north-eastern part of Nouakchott, where local conditions favor the advance of sand in the city, although medium to high values are also found in the eastern part. Optical images enabled us to distinguish desert sand using the ratio between near infrared/blue bands, and SAR Coherence Change Detection (CCD) imagery was used to assess the degree of stability of those sand bodies. The nature of the SDEVI index allows us to currently assess which areas are vulnerable to sand encroachment since we use long data records. Nevertheless, optical and SAR remote sensing allow sand evolution to be monitored on a near real-time basis.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.classificationCoherence change detectiones
dc.subject.classificationGISes
dc.subject.classificationPreventive measureses
dc.subject.classificationSand encroachmentes
dc.subject.classificationVulnerabilityes
dc.titleDetecting areas vulnerable to sand encroachment using remote sensing and GIS techniques in Nouakchott, Mauritaniaes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2018 The Author(s)es
dc.identifier.doi10.3390/rs10101541es
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/10/10/1541es
dc.identifier.publicationfirstpage1541es
dc.identifier.publicationissue10es
dc.identifier.publicationtitleRemote Sensinges
dc.identifier.publicationvolume10es
dc.peerreviewedSIes
dc.identifier.essn2072-4292es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco22 Físicaes
dc.subject.unesco2213 Termodinámicaes


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