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Summary

In Nepal, landslides pose a significant threat to lives and property, making risk assessment crucial for effective disaster management. This study focused on the Chepe river corridor, employing GIS and remote sensing tools to assess landslide hazard using the Statistical Index Model and Logistic Regression Model. Eleven triggering factors were considered, and model validation through Receiver Operating Characteristic (ROC) revealed 82% prediction accuracy for logistic regression and 63% for the Statistical Index model. Logistic regression demonstrated broader applicability in Nepal's river corridors. Vulnerability assessment, following LDCRP guidelines, involved analyzing fourteen indicators, resulting in 10 wards classified as low vulnerable and 8 as medium vulnerable. No wards were identified as highly vulnerable. The Chepe river corridor exhibited predominantly medium-risk areas (16.59 km2), with high, very high, and low-risk zones also present.