A comparative study of statistics-based landslide susceptibility models: A case study of the region affected by the gorkha earthquake in nepal


The use of remote sensing and geographic information systems (GIS) for landslide susceptibility mapping can help planning authorities to prepare for and mitigate the consequences of future hazards. In this study, we developed landslide susceptibility maps using GIS-based statistical models at the regional level in central Nepal. Our study area included the districts affected by landslides after the Gorkha earthquake and its aftershocks. We used the 23,439 landslide locations obtained from high-resolution satellite imagery to evaluate the differences in landslide susceptibility using analytical hierarchy process (AHP), frequency ratio (FR) and hybrid spatial multi-criteria evaluation (SMCE) models


Research Paper


Sansar Raj Meena, Omid Ghorbanzadeh and Thomas Blaschke

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International Journal of Geo-Information

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