International Geoscience and Remote Sensing Symposium (IGARSS)
The Three Gorges Dam Project (TGP) has raised international attention because of its great potential for hydroelectrical power generation and flood control, as well as for its potentially hazardous effects on the environment and ecology, and for the migration and resettlement of local inhabitants. S...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2003
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28408
- Acceso en línea:
- https://repository.urosario.edu.co/handle/10336/28408
- Palabra clave:
- Hydroelectrical power
Environment
Ecology
Migration
- Rights
- License
- Abierto (Texto Completo)
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4508116008074f25e-19a4-46cd-bbe6-09788d7ed29136657383-a39b-42ab-b4b1-5409ae1221413eb4580b-4595-4cb8-8e91-1b9f6062a75eecfe8ce2-f873-458f-95cf-aa1a2492762ba10c40db-bfc8-47db-80d2-6a846f6d7b4d2857356e-2655-44d1-a6f3-197bb32085252020-08-28T15:48:08Z2020-08-28T15:48:08Z2003-11-24The Three Gorges Dam Project (TGP) has raised international attention because of its great potential for hydroelectrical power generation and flood control, as well as for its potentially hazardous effects on the environment and ecology, and for the migration and resettlement of local inhabitants. Slope instability is one common problem in the Three Gorges area and this paper reports a regional assessment of landslide hazard based on ASTER imagery and Digital Elevation Model (DEM), in combination with limited field investigation. A simple model based on the geometric mean and Boolean decision rules has been applied to a multi-criterion dataset to generate a map of landslide hazard.application/pdfhttps://repository.urosario.edu.co/handle/10336/28408engIGARSS13041302International Geoscience and Remote Sensing Symposium (IGARSS)International Geoscience and Remote Sensing Symposium (IGARSS) (2003); pp. 1302-1304https://www.researchgate.net/conference/IGARSS_International-Geoscience-and-Remote-Sensing-Symposium/3596Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2International Geoscience and Remote Sensing Symposium (IGARSS)instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURHydroelectrical powerEnvironmentEcologyMigrationInternational Geoscience and Remote Sensing Symposium (IGARSS)Simposio Internacional de Geociencias y Percepción Remota (IGARSS)articleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Clerici, NicolaLiang, LDeng, HMiao, FDavis, A. MMason, P. JLiu, J. G.10336/28408oai:repository.urosario.edu.co:10336/284082021-11-21 20:07:10.144https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
International Geoscience and Remote Sensing Symposium (IGARSS) |
dc.title.TranslatedTitle.spa.fl_str_mv |
Simposio Internacional de Geociencias y Percepción Remota (IGARSS) |
title |
International Geoscience and Remote Sensing Symposium (IGARSS) |
spellingShingle |
International Geoscience and Remote Sensing Symposium (IGARSS) Hydroelectrical power Environment Ecology Migration |
title_short |
International Geoscience and Remote Sensing Symposium (IGARSS) |
title_full |
International Geoscience and Remote Sensing Symposium (IGARSS) |
title_fullStr |
International Geoscience and Remote Sensing Symposium (IGARSS) |
title_full_unstemmed |
International Geoscience and Remote Sensing Symposium (IGARSS) |
title_sort |
International Geoscience and Remote Sensing Symposium (IGARSS) |
dc.subject.keyword.spa.fl_str_mv |
Hydroelectrical power Environment Ecology Migration |
topic |
Hydroelectrical power Environment Ecology Migration |
description |
The Three Gorges Dam Project (TGP) has raised international attention because of its great potential for hydroelectrical power generation and flood control, as well as for its potentially hazardous effects on the environment and ecology, and for the migration and resettlement of local inhabitants. Slope instability is one common problem in the Three Gorges area and this paper reports a regional assessment of landslide hazard based on ASTER imagery and Digital Elevation Model (DEM), in combination with limited field investigation. A simple model based on the geometric mean and Boolean decision rules has been applied to a multi-criterion dataset to generate a map of landslide hazard. |
publishDate |
2003 |
dc.date.created.spa.fl_str_mv |
2003-11-24 |
dc.date.accessioned.none.fl_str_mv |
2020-08-28T15:48:08Z |
dc.date.available.none.fl_str_mv |
2020-08-28T15:48:08Z |
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.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28408 |
url |
https://repository.urosario.edu.co/handle/10336/28408 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
1304 |
dc.relation.citationStartPage.none.fl_str_mv |
1302 |
dc.relation.citationTitle.none.fl_str_mv |
International Geoscience and Remote Sensing Symposium (IGARSS) |
dc.relation.ispartof.spa.fl_str_mv |
International Geoscience and Remote Sensing Symposium (IGARSS) (2003); pp. 1302-1304 |
dc.relation.uri.spa.fl_str_mv |
https://www.researchgate.net/conference/IGARSS_International-Geoscience-and-Remote-Sensing-Symposium/3596 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
IGARSS |
dc.source.spa.fl_str_mv |
International Geoscience and Remote Sensing Symposium (IGARSS) |
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 |
_version_ |
1814167430501498880 |