 This study examines the relationship between landslides and land use changes in the three gorgeous reservoir area, TGRA. The researchers use interferometric and polarimetric synthetic aperture radar, NSAR, to measure landslide deformations and land use changes over time. They also use random forest, RF, and coherent slash slope maps, CSM, to classify the data and identify the most common causes of landslides. Finally, they use geographic information systems, GIS, to analyze the spatial distribution of landslides and their relation to land use changes. The results show that land use changes have a significant impact on landslide rates, with cultivated vegetation being the most likely to cause landslide deformation. This information can help inform local land use planning and reduce the risk of future landslides. This article was authored by Junhu, Yanayu, Rongui, and others.