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.