Landslide Monitoring and Detection for Mountainous Areas Using SBAS Combined with GLCM

In this paper, a landslide detection method using Small Baseline Subset Differential Interferometry (SBAS-DInSAR) combined with gray level co-occurrence matrix (GLCM) that combines the surface deformation rate with the texture feature information of the ground object to make full use of the ground object information. Compared with the traditional technique using only texture features, taking Qinglong County, a mountainous region in Guizhou Province in the southwestern region as the research area, can improve the accuracy of landslide detection. The final experimental results demonstrate the effectiveness of the proposed method, which can be used for landslide warning, the general survey of landslide bodies, and provide auxiliary information support for the detailed investigation.