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Biplab Mandal,Sujit Mandal 대한공간정보학회 2017 Spatial Information Research Vol.25 No.2
The spatial distribution of mountain slope instability deals with the potential zones for landslides occurrences. In the present study, information value model was modified to make the modified information value model using RS & GIS to assess landslide susceptibility of the Lish river basin of Eastern Darjeeling Himalaya. Eleven important causative factors of slope instability like slope, aspect, curvature, lithology, geomorphology, soil, NDVI, drainage density, relative relief, LULC, elevation were considered and corresponding thematic data layers were generated in Arc GIS (10.1) environments. 87 very small to large various types landslide locations were identified with the help GPS through extensive field survey and incorporating Google earth image (2015). The entire thematic data layers were extracted from ASTER GDEM, Topographical maps (78 B/9; 1: 50,000), LANDSAT 8 OLI satellite image, Google earth image (2015) etc. All the thematic data layers were integrated on GIS environment to generate the landslide susceptibility map of the study area. The Lish river basin was classified into six landslide susceptibility zones i.e. very low, low, moderate, moderately high, high and very high considering the ranges of landslide susceptibility index. Finally, an accuracy assessment was done in Arc GIS by ground truth verification of 54 training sites having landslides from Google earth image (2015) for each landslide susceptibility class and compared with probability model which demonstrates the overall accuracy of the present study is 87.04% and Kappa coefficient is 84.41%.
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