The contribution of PSInSAR interferometry to landslide hazard in weak rock-dominated areas
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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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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 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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