For landslides over Georgia Upper Svaneti, this study incorporates multi-scale numerical modeling, hazard assessment, and monitoring. After using FSLAM to identify high-risk regions, we used pore water pressure and surface deformation sensors in the field. RAMMS simulations are used to study semi-empirical models in various scenarios. The results provide a robust basis for hazard planning in areas susceptible to landslides by emphasizing the importance of slope geometry and pore pressure. The findings underline the importance scenario-based modeling and continuous monitoring to risk assessment and mitigation methods. In mountainous regions susceptible to landslides and debris flows, this method can help early warning systems for long-term hazard management.