Using Numerical Models and Remote Sensing Data, We Can Evaluate the Stability of Slopes

Authors

  • Dr. Ethan MacLeod Department of Software Analytics, Highland Coast University, United Kingdom
  • Prof. Noemi Fischer Center for Digital Engineering, Helvetia Polytechnic Institute, Switzerland

Keywords:

Slope Stability, Numerical Modeling, Remote Sensing, Geographic Information System (GIS)

Abstract

In areas vulnerable to soil erosion and landslides, geotechnical engineers must prioritize slope stability assessments. The security of infrastructure and the reduction of economic and environmental damages depend on precise assessments of slope behavior. the evaluation of slope stability by means of state-of-the-art numerical modeling approaches combined with data collected via remote sensing. numerical techniques, including finite element and limit equilibrium analysis, to model the behavior of slopes under different circumstances, such as changes in soil qualities, groundwater levels, and external loading. Terrain features, land use, vegetation cover, and moisture conditions can be better understood with the help of geographic information systems (GIS) and satellite photography, two examples of remote sensing tools. A thorough and data-driven evaluation of slope stability is made possible by integrating these technologies. In order to determine possible areas of failure and the likelihood of landslides, important factors such rainfall patterns, slope geometry, soil stratification, and factor of safety are examined. How early warning systems and real-time monitoring can improve slope management.

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Published

09-07-2026

Issue

Section

Articles