6. Conclusions

Landslide susceptibility mapping is crucial, keeping in mind the futuristic development plans in mountainous regions. In the present study, 1723 landslides and 11 causative factors with high correlation to landslide occurrences were used for landslide susceptibility analysis. The landslide susceptibility maps were prepared using frequency ratio (FR), certainty factor (CF) and Shanon Entropy (SE) models and were further classified into five classes i.e. low, moderate, high, and very high susceptibility zones. The accuracy of these models were assessed using Receiver Operating Characteristics (ROC) method and area under the curve (AUC) technique. The FR model’s prediction and validation accuracy lie between (75-79%) and for the CF model lies between (75-82%). The highest accuracy of prediction and validation was observed for the SE model (83-86%), and hence SE model is recommended for similar studies in the future. The analysis of three models indicate that very high drainage density and TWI, NDVI waterbodies and a distance of (0-100 m) from roads are the four most predominant factors influencing the landslide susceptibility in mountainous region. Further analysis of LSMN and LSMR maps implied a 2.67-4.17% increase in the areas with high and very high susceptibilities due to road construction in the study area. Hence, the road construction in hilly region increases the landslide susceptibility so a better planning and construction management is required to mitigate the impact of road construction on landslide susceptibility.