Abstract
Landslide susceptibility is crucial for effective hazard management,
planning mitigation and risk reduction strategies. In the present study,
impact of road construction on landslide susceptibility is assessed for
Mandi district. 1723 landslides data for Mandi district was compiled
from the various sources with eleven causative factors. The eleven
landslide causative factors were selected from numerous hydrological,
geological and topographical factors. The landslide susceptibility
analysis was carried out using three bivariate statistical models,
namely, Frequency Ratio (FR), Certainty Factor (CF) and Shanon Entropy
(SE). Two sets of Landslide Susceptibility Maps were generated for
assessing the impact of road construction and were divided into five
landslide susceptibility classes. The SE model had the highest
prediction and validation accuracy of (83-86%). The percentage area in
high and very high classes of landslide susceptibility increased by
2.67- 4.17% due to road construction activities in the study area.
Keywords: Landslide; Bivariate Models; ROC; Multicollinearity;
Remote Sensing
*Corresponding Author Email:
amol@nith.ac.in