Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong

This paper reports a regional assessment of landslide hazard in the Three Gorges area, China, based on Terra-1 satellite Advanced Spaceborne Thermal Emission Radiometer (ASTER) imagery data, including a stereo image-derived Digital Elevation Model (DEM) and multi-spectral reflective and thermal imag...

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Tipo de recurso:
Fecha de publicación:
2004
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/25928
Acceso en línea:
https://doi.org/10.1016/j.geomorph.2003.12.004
https://repository.urosario.edu.co/handle/10336/25928
Palabra clave:
Landslides
Hazard
Three gorges project
Advanced spaceborne thermal emission radiometer (ASTER)
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License
Bloqueado (Texto referencial)
id EDOCUR2_cf1a9f15b8d0c98838581baba2845a2a
oai_identifier_str oai:repository.urosario.edu.co:10336/25928
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling ef40b79f-0249-47b4-a76e-dac7a3babf8ba10c40db-bfc8-47db-80d2-6a846f6d7b4dd9aeb81c-bc61-406a-a027-2cb276a9750f18b827d4-e57a-481f-b98f-8992ef8ec6f43eb4580b-4595-4cb8-8e91-1b9f6062a75e36657383-a39b-42ab-b4b1-5409ae1221418074f25e-19a4-46cd-bbe6-09788d7ed2914508116002020-08-06T16:20:14Z2020-08-06T16:20:14Z2004-07-01This paper reports a regional assessment of landslide hazard in the Three Gorges area, China, based on Terra-1 satellite Advanced Spaceborne Thermal Emission Radiometer (ASTER) imagery data, including a stereo image-derived Digital Elevation Model (DEM) and multi-spectral reflective and thermal imagery, in combination with limited field investigation. The Three Gorges dam and reservoir project has gained international attention, not only for its great potential for hydro-electrical power generation and flood control, but also for its potentially harmful effects on the environment and socio-economy. The most significant and widespread natural hazard in the region is slope instability. A simple, multi-variable elimination and characterisation model, employing geometric mean and Boolean decision rules, has been applied to a multi-criterion image dataset to categorise the area into a series of potential landslide hazard levels, which are presented in map form. The results presented here show high levels of hazard in and around all the main inhabited areas along the river. Limited fieldwork has been conducted to provide reliable ground control and the results of this paper show good correlation with this field evidence.application/pdfhttps://doi.org/10.1016/j.geomorph.2003.12.004ISSN: 0169-555XEISSN: 1872-695Xhttps://repository.urosario.edu.co/handle/10336/25928engElsevier187No. 1-2171GeomorphologyVol. 61Geomorphology, ISSN: 0169-555X;EISSN:1872-695X, Vol.61, Nos.1–2, (1 July, 2004); pp.171-187https://www.sciencedirect.com/science/article/abs/pii/S0169555X03004008?via%3DihubBloqueado (Texto referencial)http://purl.org/coar/access_right/c_14cbGeomorphologyinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURLandslidesHazardThree gorges projectAdvanced spaceborne thermal emission radiometer (ASTER)Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-BadongEvaluación del peligro de deslizamientos de tierra en el área de las Tres Gargantas del río Yangtze utilizando imágenes ASTER: Zigui-BadongarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Liua, J.G.Mason,P.JChen, S.Davis, A.Miao, F.Deng, H.Liang, L.Clerici, Nicola10336/25928oai:repository.urosario.edu.co:10336/259282021-11-21 20:23:18.117https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
dc.title.TranslatedTitle.spa.fl_str_mv Evaluación del peligro de deslizamientos de tierra en el área de las Tres Gargantas del río Yangtze utilizando imágenes ASTER: Zigui-Badong
title Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
spellingShingle Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
Landslides
Hazard
Three gorges project
Advanced spaceborne thermal emission radiometer (ASTER)
title_short Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
title_full Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
title_fullStr Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
title_full_unstemmed Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
title_sort Landslide hazard assessment in the Three Gorges area of the Yangtze river using ASTER imagery: Zigui-Badong
dc.subject.keyword.spa.fl_str_mv Landslides
Hazard
Three gorges project
Advanced spaceborne thermal emission radiometer (ASTER)
topic Landslides
Hazard
Three gorges project
Advanced spaceborne thermal emission radiometer (ASTER)
description This paper reports a regional assessment of landslide hazard in the Three Gorges area, China, based on Terra-1 satellite Advanced Spaceborne Thermal Emission Radiometer (ASTER) imagery data, including a stereo image-derived Digital Elevation Model (DEM) and multi-spectral reflective and thermal imagery, in combination with limited field investigation. The Three Gorges dam and reservoir project has gained international attention, not only for its great potential for hydro-electrical power generation and flood control, but also for its potentially harmful effects on the environment and socio-economy. The most significant and widespread natural hazard in the region is slope instability. A simple, multi-variable elimination and characterisation model, employing geometric mean and Boolean decision rules, has been applied to a multi-criterion image dataset to categorise the area into a series of potential landslide hazard levels, which are presented in map form. The results presented here show high levels of hazard in and around all the main inhabited areas along the river. Limited fieldwork has been conducted to provide reliable ground control and the results of this paper show good correlation with this field evidence.
publishDate 2004
dc.date.created.spa.fl_str_mv 2004-07-01
dc.date.accessioned.none.fl_str_mv 2020-08-06T16:20:14Z
dc.date.available.none.fl_str_mv 2020-08-06T16:20:14Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.geomorph.2003.12.004
dc.identifier.issn.none.fl_str_mv ISSN: 0169-555X
EISSN: 1872-695X
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/25928
url https://doi.org/10.1016/j.geomorph.2003.12.004
https://repository.urosario.edu.co/handle/10336/25928
identifier_str_mv ISSN: 0169-555X
EISSN: 1872-695X
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 187
dc.relation.citationIssue.none.fl_str_mv No. 1-2
dc.relation.citationStartPage.none.fl_str_mv 171
dc.relation.citationTitle.none.fl_str_mv Geomorphology
dc.relation.citationVolume.none.fl_str_mv Vol. 61
dc.relation.ispartof.spa.fl_str_mv Geomorphology, ISSN: 0169-555X;EISSN:1872-695X, Vol.61, Nos.1–2, (1 July, 2004); pp.171-187
dc.relation.uri.spa.fl_str_mv https://www.sciencedirect.com/science/article/abs/pii/S0169555X03004008?via%3Dihub
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_14cb
dc.rights.acceso.spa.fl_str_mv Bloqueado (Texto referencial)
rights_invalid_str_mv Bloqueado (Texto referencial)
http://purl.org/coar/access_right/c_14cb
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier
dc.source.spa.fl_str_mv Geomorphology
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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