Slope visualization and stability study using GIS technology and UAV

Abstract

High-precision visualized 3D slope modeling and stability analysis have benefited from the quick development of big data technology. The research aims to utilize unmanned aerial vehicle survey data to obtain influencing information on slope topography. A high-precision three-dimensional surface model is established, which is then overlaid with three-dimensional geological models and three-dimensional mineral models constructed using Geographic Information System technology. This approach enables more efficient and accurate three-dimensional visualization modeling of slopes. Based on the 3D model, the search for the most dangerous sliding surface under the rainfall conditions is completed. The average absolute error of sample points in the surface modeling effect verification experiment is less than 0.5 m and the average relative error is less than 2%. These results indicate that the overall modeling effect of 3D slope model can meet the requirements of subsequent stability analysis. According to the results of random simulation, the minimum safety factor on the most neutral surfaces is less than 1, which indicates that the slopes at some locations in this site do have the possibility of landslide. The neutral surface where the least safety factor appears can be used to pinpoint the position of the most hazardous sliding surface.