The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas

Detalhes bibliográficos
Autor(a) principal: Oliveira, Sérgio
Data de Publicação: 2015
Outros Autores: Zêzere, José, Catalão, J., Nico, G.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/28283
Resumo: In the Grande da Pipa river basin, north of Lisbon, 64% of the total number of landslides inventoried is totally or partially included in a lithological unit composed by marl, clay, and sandstone intercalation complex that is present in 58% of the study area. The Persistent Scatterer synthetic aperture radar interferometry technique is applied to a data set of TerraSAR-X SAR images, from April of 2010 to March of 2011, firstly to the Laje-Salema test site and further exported to the Grande da Pipa river basin. This work’s specific objectives are the following: (i) to assess the potential of the Persistent Scatterer displacement maps to the identification of new landslides/unstable areas and in the redefinition of landslide limits, (ii) to update the landslide state of activity, and (iii) to evaluate the capacity of the Persistent Scatterer deformation maps in assessing landslide susceptibility at the regional scale. Based on this approach, it was possible to increment the number of landslides and to redefine the landslide limits in the test site in 3.8%. For 39 landslides, it was possible to update the landslide state of activity, in particular from dormant to reactivated or dormantreactivated (23 landslides) or from stabilized to reactivated (5 landslides). Landslide susceptibility map based in Persistent Scatterer deformation rates, independently validated with a deep rotational slide map, obtained the best value of area under the curve (0.668).
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spelling The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areasPSInSARTerraSAR-XLandslide hazardWeak rocksGrande da Pipa river basinIn the Grande da Pipa river basin, north of Lisbon, 64% of the total number of landslides inventoried is totally or partially included in a lithological unit composed by marl, clay, and sandstone intercalation complex that is present in 58% of the study area. The Persistent Scatterer synthetic aperture radar interferometry technique is applied to a data set of TerraSAR-X SAR images, from April of 2010 to March of 2011, firstly to the Laje-Salema test site and further exported to the Grande da Pipa river basin. This work’s specific objectives are the following: (i) to assess the potential of the Persistent Scatterer displacement maps to the identification of new landslides/unstable areas and in the redefinition of landslide limits, (ii) to update the landslide state of activity, and (iii) to evaluate the capacity of the Persistent Scatterer deformation maps in assessing landslide susceptibility at the regional scale. Based on this approach, it was possible to increment the number of landslides and to redefine the landslide limits in the test site in 3.8%. For 39 landslides, it was possible to update the landslide state of activity, in particular from dormant to reactivated or dormantreactivated (23 landslides) or from stabilized to reactivated (5 landslides). Landslide susceptibility map based in Persistent Scatterer deformation rates, independently validated with a deep rotational slide map, obtained the best value of area under the curve (0.668).Springer VerlagRepositório da Universidade de LisboaOliveira, SérgioZêzere, JoséCatalão, J.Nico, G.2017-07-10T15:08:52Z20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/28283engOliveira, S. C., Zêzere, J. L., Catalão, J. et al. Landslides (2015) 12: 703. doi:10.1007/s10346-014-0522-91612-510X10.1007/s10346-014-0522-9metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:19:53Zoai:repositorio.ul.pt:10451/28283Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:44:31.653031Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
title The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
spellingShingle The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
Oliveira, Sérgio
PSInSAR
TerraSAR-X
Landslide hazard
Weak rocks
Grande da Pipa river basin
title_short The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
title_full The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
title_fullStr The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
title_full_unstemmed The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
title_sort The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
author Oliveira, Sérgio
author_facet Oliveira, Sérgio
Zêzere, José
Catalão, J.
Nico, G.
author_role author
author2 Zêzere, José
Catalão, J.
Nico, G.
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Oliveira, Sérgio
Zêzere, José
Catalão, J.
Nico, G.
dc.subject.por.fl_str_mv PSInSAR
TerraSAR-X
Landslide hazard
Weak rocks
Grande da Pipa river basin
topic PSInSAR
TerraSAR-X
Landslide hazard
Weak rocks
Grande da Pipa river basin
description In the Grande da Pipa river basin, north of Lisbon, 64% of the total number of landslides inventoried is totally or partially included in a lithological unit composed by marl, clay, and sandstone intercalation complex that is present in 58% of the study area. The Persistent Scatterer synthetic aperture radar interferometry technique is applied to a data set of TerraSAR-X SAR images, from April of 2010 to March of 2011, firstly to the Laje-Salema test site and further exported to the Grande da Pipa river basin. This work’s specific objectives are the following: (i) to assess the potential of the Persistent Scatterer displacement maps to the identification of new landslides/unstable areas and in the redefinition of landslide limits, (ii) to update the landslide state of activity, and (iii) to evaluate the capacity of the Persistent Scatterer deformation maps in assessing landslide susceptibility at the regional scale. Based on this approach, it was possible to increment the number of landslides and to redefine the landslide limits in the test site in 3.8%. For 39 landslides, it was possible to update the landslide state of activity, in particular from dormant to reactivated or dormantreactivated (23 landslides) or from stabilized to reactivated (5 landslides). Landslide susceptibility map based in Persistent Scatterer deformation rates, independently validated with a deep rotational slide map, obtained the best value of area under the curve (0.668).
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
2017-07-10T15:08:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/28283
url http://hdl.handle.net/10451/28283
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Oliveira, S. C., Zêzere, J. L., Catalão, J. et al. Landslides (2015) 12: 703. doi:10.1007/s10346-014-0522-9
1612-510X
10.1007/s10346-014-0522-9
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dc.publisher.none.fl_str_mv Springer Verlag
publisher.none.fl_str_mv Springer Verlag
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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