Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/185599
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dc.contributor.authorBéjar-Pizarro, Martaes_ES
dc.contributor.authorNotti, Davidees_ES
dc.contributor.authorMateos, Rosa M.es_ES
dc.contributor.authorEzquerro, Pabloes_ES
dc.contributor.authorCentolanza, Giuseppees_ES
dc.contributor.authorHerrera, Gerardoes_ES
dc.contributor.authorBru, Guadalupees_ES
dc.contributor.authorSanabria, Margaritaes_ES
dc.contributor.authorSolari, Lorenzoes_ES
dc.contributor.authorDuro, Javieres_ES
dc.contributor.authorFernández Torres, Josées_ES
dc.date.accessioned2019-07-08T07:33:56Z-
dc.date.available2019-07-08T07:33:56Z-
dc.date.issued2017-08-23-
dc.identifier.citationRemote Sensing 9(9): 876 (2017)es_ES
dc.identifier.issn2072-4292-
dc.identifier.urihttp://hdl.handle.net/10261/185599-
dc.description.abstractLandslides are widespread natural hazards that generate considerable damage and economic losses worldwide. Detecting terrain movements caused by these phenomena and characterizing affected urban areas is critical to reduce their impact. Here we present a fast and simple methodology to create maps of vulnerable buildings affected by slow-moving landslides, based on two parameters: (1) the deformation rate associated to each building, measured from Sentinel-1 SAR data, and (2) the building damage generated by the landslide movement and recorded during a field campaign. We apply this method to Arcos de la Frontera, a monumental town in South Spain affected by a slow-moving landslide that has caused severe damage to buildings, forcing the evacuation of some of them. Our results show that maximum deformation rates of 4 cm/year in the line-of-sight (LOS) of the satellite, affects La Verbena, a newly-developed area, and displacements are mostly horizontal, as expected for a planar-landslide. Our building damage assessment reveals that most of the building blocks in La Verbena present moderate to severe damages. According to our vulnerability scale, 93% of the building blocks analysed present high vulnerability and, thus, should be the focus of more in-depth local studies to evaluate the serviceability of buildings, prior to adopting the necessary mitigation measures to reduce or cope with the negative consequences of this landslide. This methodology can be applied to slow-moving landslides worldwide thanks to the global availability of Sentinel-1 SAR data.es_ES
dc.description.sponsorshipThis work is supported by the Spanish Ministry of Economy and Competitiveness and EU FEDER funds under projects ESP2013-47780-C2-2-R and ESP2013-47780-C2-1-R. Sentinel-1 data were provided by the European Space Agency (ESA).es_ES
dc.language.isoenges_ES
dc.publisherMultidisciplinary Digital Publishing Institutees_ES
dc.relationMINECO/ICTI2013-2016/ESP2013-47780-C2-2-Res_ES
dc.relationMINECO/ICTI2013-2016/ESP2013-47780-C2-1-Res_ES
dc.relation.isversionofPublisher's versiones_ES
dc.rightsopenAccesses_ES
dc.subjectLandslideses_ES
dc.subjectInSARes_ES
dc.subjectSentinel-1es_ES
dc.subjectBuilding damageses_ES
dc.titleMapping Vulnerable Urban Areas Affected by Slow-Moving Landslides Using Sentinel-1 InSAR Dataes_ES
dc.typeartículoes_ES
dc.identifier.doi10.3390/rs9090876-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.3390/rs9090876es_ES
dc.identifier.e-issn2072-4292-
dc.rights.licensehttps://creativecommons.org/licenses/by/4.0/es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)es_ES
dc.contributor.funderEuropean Space Agencyes_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000844es_ES
dc.contributor.orcidBéjar-Pizarro, Marta [0000-0001-7449-4048]es_ES
dc.contributor.orcidNotti, Davide [0000-0002-8256-0743]es_ES
dc.contributor.orcidHerrera, Gerardo [0000-0002-6633-9184]es_ES
dc.contributor.orcidSolari, Lorenzo [0000-0003-3637-2669]es_ES
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.openairetypeartículo-
item.cerifentitytypePublications-
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