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Auteur D.P. Kanungo |
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An integrated approach for landslide susceptibility mapping using remote sensing and GIS / S. Sarkar in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)
[article]
Titre : An integrated approach for landslide susceptibility mapping using remote sensing and GIS Type de document : Article/Communication Auteurs : S. Sarkar, Auteur ; D.P. Kanungo, Auteur Année de publication : 2004 Article en page(s) : pp 617 - 625 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie des risques
[Termes IGN] classification
[Termes IGN] couche thématique
[Termes IGN] données de terrain
[Termes IGN] effondrement de terrain
[Termes IGN] Himalaya
[Termes IGN] image IRS
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A methodology for landslide susceptibility mapping using an integrated remote sensing and GIS approach is presented. A part of the Darjeeling Himalaya was selected for the model execution. IRS satellite data, topographic maps, field data, and other informative maps were used as inputs to the study. Important terrain factors, contributing to landslide occurrences in the region, were identified and corresponding thematic data layers were generated. These data layers represent the geological, topographical, and hydrological conditions of the terrain. A numerical rating scheme for the factors was developed for spatial data analysis in a GIS. The resulting landslide susceptibility map delineates the area into different zones of four relative susceptibility classes: high, moderate, low, and very low. The susceptibility map was validated by correlating the landslide frequencies of different classes. This has shown a close agreement with the existing field instability condition. The effectiveness of the map was also confirmed by the high statistically significant value of a chi-square test. Numéro de notice : A2004-182 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.70.5.617 En ligne : https://doi.org/10.14358/PERS.70.5.617 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26709
in Photogrammetric Engineering & Remote Sensing, PERS > vol 70 n° 5 (May 2004) . - pp 617 - 625[article]