Prediction of Stability of an Infinite Slope Using Geospatial Techniques

Two-dimensional (2D) slope stability investigations are the most regularly utilized techniques among the designers because of their effortlessness. Determining the factor of safety against a potential failure is the main objective in predicting the stability of the slope. On the off chance, if the factor of safety is determined to be sufficiently massive, the slope is considered to be steady (safe). On the off chance that it is 1.0 or less, it is perilous. In this study, Variables such as soil water content and land temperature of 20 selected points were estimated during field observation. Samples collected from the site were analyzed in the geotechnical laboratory to determine the field moisture content, cohesion, angle of shearing resistance, and density. The principal parameter, soil moisture (ω), is obtained from the experimental methods for 20 selected points. Then the remote sensing perspective is utilized to calculate the safety factors of the expressway slope stability. Cartosat information was used to infer a few critical variables engaged with the assurance of slope stability. Maps of soil mechanical factors, for example, the cohesion of the soil (c), angle of shearing resistance (ø), and unit weight of the soil (γ) are obtained by correlating with soil moisture (ω) in the model maker. Cartosat-1 Digital Elevation Model (DEM) data is used in determining another significant variable, the slope angle (α). factor of safety (FOS) computations depend on infinite slope stability models for shallow landslides that are computed using SAGA GIS software.