From Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessment

dc.contributor.authorOliveira, Sérgio C.
dc.contributor.authorMelo, Raquel
dc.contributor.authorMarques, Fernando
dc.contributor.authorFonseca, Rute
dc.contributor.authorPimenta, Rita
dc.contributor.authorZêzere, José L.
dc.date.accessioned2022-08-31T09:52:29Z
dc.date.available2022-08-31T09:52:29Z
dc.date.issued2022
dc.description.abstractFor landslide susceptibility assessment, lithology information is often extrapolated from official geological maps, which do not allow a direct spatial transformation into a detailed lithological map. To overcome this limitation, a study was made for the Grande da Pipa River basin, Portugal, to detail the existing geological maps, keeping the units' age sequence but separating the main lithological types. In addition, it explored supplementary cartographic information (e.g., slope angle) to infer the boundaries of lithological units using differential erosion and associated morphological interpretation criteria. Finally, the lithological map produced was compared with the official geological map using sensitive analysis and different partitions of a historical landslide inventory. The results consistently record improved predictive capacity for landslide susceptibility if more detailed lithological maps are used instead of the commonly available geological maps.por
dc.identifier.authoremailnd
dc.identifier.authoremailraquel.melo@uevora.pt
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dc.identifier.urihttp://hdl.handle.net/10174/32457
dc.identifier.withinvitedoralpresentationnaopor
dc.identifier.withoralpresentationsimpor
dc.identifier.withposternaopor
dc.language.isoengpor
dc.publisherInternational Workshop on NATURAL HAZARDS — NatHaz’22por
dc.rightsopenAccesspor
dc.subjectgeological mappor
dc.subjectlithological mappor
dc.subjectcartographic informationpor
dc.subjectsusceptibilitypor
dc.subjectlandslidespor
dc.titleFrom Geological to Lithological Maps – Exploring Differential Erosion to Improve Lithological Information for Landslide Susceptibility Assessmentpor
dc.typelecturepor

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