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dc.contributor.authorBéjar Pizarro, Marta
dc.contributor.authorNotti, Davide
dc.contributor.authorMateos, Rosa Maria
dc.contributor.authorCentolanza, Giuseppe
dc.contributor.authorDuro Calvo, Javier
dc.coverage.spatialeast=-5.81974450000007; north=36.7483711; name=11630 Arcos de la Frontera, Cadis, Arcos de la Frontera, Espanya
dc.date.accessioned2017-10-02T12:31:57Z
dc.date.available2017-10-02T12:31:57Z
dc.date.issued2017-09-01
dc.identifier.citationBéjar, M., Notti, D., Mateos, R., Centolanza, G., Duro, J. Mapping vulnerable urban areas affected by slow-moving landslides using Sentinel-1InSAR data. "Remote sensing", 1 Setembre 2017, vol. 9, p. 1-17.
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/2117/108273
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.
dc.format.extent17 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshLandslides
dc.subject.otherBuilding damages
dc.subject.otherInSAR
dc.subject.otherLandslides
dc.subject.otherSentinel-1
dc.titleMapping vulnerable urban areas affected by slow-moving landslides using Sentinel-1InSAR data
dc.typeArticle
dc.subject.lemacEsllavissades
dc.identifier.doi10.3390/rs9090876
dc.relation.publisherversionhttp://www.mdpi.com/2072-4292/9/9/876
dc.rights.accessOpen Access
local.identifier.drac21555455
dc.description.versionPostprint (published version)
local.citation.authorBéjar, M.; Notti, D.; Mateos, R.; Centolanza, G.; Duro, J.
local.citation.publicationNameRemote sensing
local.citation.volume9
local.citation.startingPage1
local.citation.endingPage17


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