SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA
In an area of high population growth as the state of Vargas, boost information in order to develop scenarios of environmental risk, geotechnology is applied to ensure the validity and location of the retrieved data in the field. In this context, a study was conducted in the La Zorra watershed, Tacag...
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2009
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| Online Access: | http://hdl.handle.net/10872/6321 |
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| _version_ | 1870622057517023232 |
|---|---|
| bitstream.checksum.fl_str_mv | 92bcae269897d65ab15ed175b94a91ad 8a4605be74aa9ea9d79846c1fba20a33 |
| bitstream.checksumAlgorithm.fl_str_mv | MD5 MD5 |
| bitstream.url.fl_str_mv | https://saber.ucv.ve/jspui/bitstream/10872/6321/1/1380-2679-1-SM.pdf https://saber.ucv.ve/jspui/bitstream/10872/6321/2/license.txt |
| dc.contributor.author.none.fl_str_mv | Batista, Rafael Bustos C., Xavier |
| dc.creator.fl_str_mv | Batista, Rafael Bustos C., Xavier |
| dc.date.accessioned.none.fl_str_mv | 2014-05-16T18:48:23Z |
| dc.date.available.none.fl_str_mv | 2014-05-16T18:48:23Z |
| dc.date.issued.none.fl_str_mv | 2009-12-01 |
| dc.identifier.citation.es_VE.fl_str_mv | Vol. XXV, No. 38, 2009, pp. 167-190. |
| dc.identifier.issn.none.fl_str_mv | 10127089 |
| dc.identifier.uri.none.fl_str_mv | http://hdl.handle.net/10872/6321 |
| dc.language.iso.es_VE.fl_str_mv | es |
| dc.publisher.es_VE.fl_str_mv | Terra. Nueva Etapa |
| dc.relation.ispartofseries.none.fl_str_mv | ;38 |
| dc.subject.es_VE.fl_str_mv | Flooding landslides damage level GIS remote sensing |
| dc.title.es_VE.fl_str_mv | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| dc.type.es_VE.fl_str_mv | Article |
| description | In an area of high population growth as the state of Vargas, boost information in order to develop scenarios of environmental risk, geotechnology is applied to ensure the validity and location of the retrieved data in the field. In this context, a study was conducted in the La Zorra watershed, Tacagua, and Mamo, the most densely populated section in the central coast. Building a geographic information system to manage data in the study area in order to produce spatial analysis leading to the generation of a map of urban vulnerability. This makes a change detection with Landsat images from different years to identify areas with significant changes. Subsequently, the digital mapping coverage of urban over-and IKONOS satellite data combined with the map of hydrometeorological threat to select critical areas. The information collected within the structures of the critical areas are located using Global Positioning Systems (GPS). Finally, this procedure allowed us to identify the levels of damage to buildings that may suffer when an extraordinary event (torrential avalanche) and to establish areas with different degrees of vulnerability. |
| id | SABERUCV_e36b2c2a8a92bfe223b045d4fe283bf0 |
| identifier_str_mv | Vol. XXV, No. 38, 2009, pp. 167-190. 10127089 |
| language_invalid_str_mv | es |
| network_acronym_str | SABERUCV |
| network_name_str | Repositorio Institucional de la Universidad Central de Venezuela |
| oai_identifier_str | oai:saber.ucv.ve:10872/6321 |
| publishDate | 2009 |
| publishDateSort | 2009 |
| repository.mail.fl_str_mv | sfwrussians@gmail.com |
| repository.name.fl_str_mv | Saber UCV |
| repository_id_str | |
| spelling | Batista, RafaelBustos C., Xavier2014-05-16T18:48:23Z2014-05-16T18:48:23Z2009-12-01Vol. XXV, No. 38, 2009, pp. 167-190.10127089http://hdl.handle.net/10872/6321In an area of high population growth as the state of Vargas, boost information in order to develop scenarios of environmental risk, geotechnology is applied to ensure the validity and location of the retrieved data in the field. In this context, a study was conducted in the La Zorra watershed, Tacagua, and Mamo, the most densely populated section in the central coast. Building a geographic information system to manage data in the study area in order to produce spatial analysis leading to the generation of a map of urban vulnerability. This makes a change detection with Landsat images from different years to identify areas with significant changes. Subsequently, the digital mapping coverage of urban over-and IKONOS satellite data combined with the map of hydrometeorological threat to select critical areas. The information collected within the structures of the critical areas are located using Global Positioning Systems (GPS). Finally, this procedure allowed us to identify the levels of damage to buildings that may suffer when an extraordinary event (torrential avalanche) and to establish areas with different degrees of vulnerability.Este trabajo se realizó en el marco del proyecto titulado "Implementación de una red de estaciones hidrometeorológicas y simulación de inundaciones torrenciales en las cuencas de Tacagua, Mamo y La Zorra, Edo. Vargas." contratado por CORPOVARGAS y financiado por la UNIÓN EUROPEA.esTerra. Nueva Etapa;38Floodinglandslidesdamage levelGISremote sensingSISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELAArticleORIGINAL1380-2679-1-SM.pdf1380-2679-1-SM.pdfapplication/pdf710795https://saber.ucv.ve/jspui/bitstream/10872/6321/1/1380-2679-1-SM.pdf92bcae269897d65ab15ed175b94a91adMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://saber.ucv.ve/jspui/bitstream/10872/6321/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD5210872/6321oai:saber.ucv.ve:10872/63212016-03-04 03:55:17.773Saber UCVsfwrussians@gmail.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 |
| spellingShingle | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA Flooding landslides damage level GIS remote sensing |
| title | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| title_full | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| title_fullStr | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| title_full_unstemmed | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| title_short | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| title_sort | SISTEMA DE INFORMACIÓN GEOGRÁFICA Y TELEDETECCIÓN. DETERMINACIÓN DE VULNERABILIDAD URBANA. CASO ESTADO VARGAS-VENEZUELA |
| topic | Flooding landslides damage level GIS remote sensing |
| url | http://hdl.handle.net/10872/6321 |