A GIS and RS-based quantitative vulnerability assessment for rainfall triggered landslides

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dc.contributor.authorErener A.
dc.contributor.authorDüzgün H.S.B.
dc.date.accessioned2020-03-26T18:22:07Z
dc.date.available2020-03-26T18:22:07Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring -- 10 April 2011 through 15 April 2011 -- Sydney, NSW -- 97460en_US
dc.description.abstractQuantification of landslide risk requires computation of landslide hazard and consequences. Computation of landslide consequences should be determined in terms of loss in a quantitative manner. The analysis of consequences involves determination of elements at risk and vulnerability of elements at risk. The vulnerability of elements at risk depends on the understanding of the interaction between a given landslide and the affected elements. In this study, a quantitative approach for mapping landslide vulnerability was developed for property at local scale. The approach focused on determination of quantitative vulnerability values for each element at risk by considering temporal and spatial impacts by adopting a "damage probability matrix" approach. The spatial vulnerability of buildings were determined by modeling the landslide velocity. As a result risk to property was obtained by considering the roads and buildings on local scale.en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27164
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartof34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectBuildingen_US
dc.subjectLoss estimationen_US
dc.subjectRisken_US
dc.subjectRoaden_US
dc.subjectVulnerabilityen_US
dc.titleA GIS and RS-based quantitative vulnerability assessment for rainfall triggered landslidesen_US
dc.typeConference Objecten_US

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