Landslide Susceptibility Analysis Using GIS and Analytical Hierarchy Process (AHP) Approach for Disaster risk Reduction in the Mountainous Region: A Case Study of Lesser Himalayan Region

Landslide incidents result in significant monetary losses, fatalities, and irrevocable damage to the natural landscape. The landslide inventory mapping method is covered in this study using AHP approach. Here, we have employed seven distinct landslide-affecting characteristics, including slope (S), aspect (A), curvature (C), distance from drainage (DfD), Lineament density (LD), Lithology (L) and Land use Land cover (LULC). The Analytic Hierarchy Process (AHP) method was used to calculate the association between the landslide-impacting elements and historical landslide positions to create the Landslide Susceptible Maps (LSMs). The AHP model assigns a weight to each factor, that will get added and end up giving LSI (Landslide susceptibility index). The region under investigation was divided into four susceptibility classifications, ranging from extremely low to scarring, based on the LSI that was generated. Using current landslide inventory information, the LSMs were checked and verified. The AHP model's total prediction accuracy is 72.9%. Susceptibility maps may be used to determine the most difficult regions, through this essential landslide investigation can be done, which will further help in regional development planning for reducing the risk of disaster.