Landslide Susceptibility Analysis: A Logistic Regression Model Case Study in Coonoor, India

Landslides are a common geologic hazard that disrupts the social and economic balance of affected society. Therefore, identifying zones prone to landslides is necessary for safe living minimal disruption activities in event hazard. The factors causing often function local geo-environmental set-up need region-specific study. This study evaluates site characteristics primarily altered by anthropogenic understand identify various Coonoor Taluk Uthagamandalam District Tamil Nadu, India. Studies on landslide susceptibility show slope gradient, aspect, relative relief, topographic wetness index, soil type, land use region influence instability. Rainfall have also played significant role landslides. Logistic Regression, popular statistical tool used predictive analysis, employed assess selected factors’ impact susceptibility. weighted combined GIS platform develop region’s map. has direct link between natural physical systems, hydrology, humans from socio-hydrological perspective. map derived using watershed’s environmental conditions offers best planning developmental prioritizing areas mitigation region. tourism agriculture sectors can significantly benefit their stability growth.