Landslide detection and susceptibility mapping using geological and remote sensing data: A case study of Azad Kashmir, NW Sub-Himalayas

Azad Kashmir has undergone sever landslide episodes in the past. The main reasons behind occurrence of landslides this area are heavy rainfall, weak geological strata, seismic zones and active faults. Several roads blockage due to is one major problem area, therefore, study carried out for susceptibility analysis along Kotli Trar Khel, Kashmir, NW Sub-Himalayas. Geographic information system (GIS) used interpret remote sensing, strata topographical data. Total ten anthropogenic physical factors (aspects, fault, lithology, drainage density, curvature, distance roads, landuse landcover, slope, elevation) were examined by Multi-criteria Decision Analysis (MCDA) technique. thematic layers all prepared preparation final map using a weighted overlay method (WOM). classified into four susceptible classes low, moderate, high very high. spatial result outcomes depicted that faults, slope gradient landcover may facilitate phenomena. results verified density analyses (LDA), receiver operator characteristics (ROC) under curve (AUC) with predictive accuracy 77 % rated as satisfactory many researchers.