Landslide susceptibility mapping for West-Jaintia Hills district, Meghalaya

Landslides cause significant damage to property and life in the West Jaintia Hills district in Meghalaya, India, due to mountains, slopes, and extreme rainfall. Landslide susceptibility maps are highly efficient and helpful for disaster preparation and management. The determination of this work is to create a landslide susceptibility map (LSM) for West Jaintia Hills using the analytical hierarchy process (AHP) method. The previous landslide data are required for effective management of the current situation, and these data are divided into training samples (75%) and testing samples (25%) for predicting efficiency. The different landslide causative factors are investigated in this study: rainfall, slope, geomorphology, elevation, lineament density, LULC, distance from a road, NDWI, MSAVI, and NDVI. The causal factors are subdivided and weighted according to AHP, and a susceptibility map is prepared. According to the developed map, 19% of the region's total area is low susceptible, 52% moderate, 25% high, and 4% very highly susceptible. Field data and the receiver operating characteristics (ROC) approach are used to validate the produced map. The outcomes indicate that the predicted susceptibility map closely reflects previous and recent landslide events. The created map is accurate and can be applied to future land-use planning.