Slope Stability Assessment Using Numerical Modeling and Remote Sensing Data

Abstract

Slope stability assessment is a critical aspect of geotechnical engineering, particularly in regions prone to landslides and soil erosion. Accurate evaluation of slope behavior is essential for ensuring the safety of infrastructure and minimizing environmental and economic losses. This study focuses on the assessment of slope stability using advanced numerical modeling techniques integrated with remote sensing data. numerical methods such as finite element and limit equilibrium analysis to simulate slope behavior under various conditions, including changes in soil properties, groundwater levels, and external loading. Remote sensing tools, including satellite imagery and geographic information systems (GIS), are employed to collect spatial and temporal data related to terrain characteristics, land use, vegetation cover, and moisture conditions. The integration of these technologies enables a comprehensive and data-driven analysis of slope stability. Key parameters such as factor of safety, slope geometry, soil stratification, and rainfall patterns are evaluated to identify potential failure zones and assess the risk of landslides. The role of real-time monitoring and early warning systems in enhancing slope management practices.