Cross-Verification of Spatial Logistic Regression for Landslide Susceptibility Analysis: A Case Study of Korea

The aim of this study is to cross-verify of multiple logistic model at Korea using a Geographic Information System (GIS). Landslide locations were identified in the 3 study areas from interpretation of aerial photographs and satellite image, field surveys, and maps of the topography, soil type, forest cover and land cover were constructed to spatial data-sets. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography, were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Lithology was extracted from the geological database, and land cover was classified from the Landsat TM image satellite image. Landslide susceptibility was analyzed using the landslide-occurrence factors by multiple logistic regression models. For the verification and cross-verification, the result of the analysis was applied to study areas.