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Landslide Susceptibility Mapping and Verification Using the GIS and Bayesian Probability Model in Boun  

Choi, Jae-Won (Department of Earth System Science, Yonsei University)
Lee, Sa-Ro (Geoscience Information Center, Korea Institute of Geology and Mineral Resources)
Min, Kyung-Duk (Department of Earth System Science, Yonsei University)
Woo, Ik (Department of Geoinformation Engineering, Sejong University)
Publication Information
Economic and Environmental Geology / v.37, no.2, 2004 , pp. 207-223 More about this Journal
Abstract
The purpose of this study is to reveal spatial relationships between landslide and geospatial data set, to map the landslide susceptibility using the relationship and to verify the landslide susceptibility using the landslide occurrence data in Boun area in 1998. Landslide locations were detected from aerial photography and field survey, and then topography, soil, forest, and land cover data set were constructed as a spatial database using GIS. Various spatial parameters were used as the landslide occurrence factors. They are slope, aspect, curvature and type of topography, texture, material, drainage and effective thickness of soil. type, age, diameter and density of wood, lithology, distance from lineament and land cover. To calculate the relationship between landslides and geospatial database, Bayesian probability methods, weight of evidence. were applied and the contrast value that is >$W^{+}$->$W^{-}$ were calculated. The landslide susceptibility index was calculated by summation of the contrast value and the landslide susceptibility maps were generated using the index. The landslide susceptibility map can be used to reduce associated hazards, and to plan land cover and construction.
Keywords
GIS; landslide; susceptibility; Bayesian probability; Boeun;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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