Abstract: Taking Jiaodong landslide as an example, this paper analyzes the collapse time and historical activity of Jiaodong landslide by using multi-phase optical images and sentinel-1A orbit reduction data. According to the analysis results, the slope area of Jiaodong landslide is divided into three areas, including two already sliding areas (area A and area C) and one potential sliding area (area B). On this basis, through the calculation equation between landslide debris flow and potential energy of rock mass, the volume scale and average thickness of the sliding mass of the sliding landslide are inversed. Based on the prediction of the possible disaster caused by the sliding landslide to the potential sliding area, it is considered that the potential sliding area has the risk of blocking the river under the condition of full unloading. This study believes that on the basis of remote sensing means to identify landslide activity, using remote sensing images, DEM and other data, through calculating the relationship between landslide debris flow and potential energy of rock mass, we can estimate the landslide scale and average thickness of the area where the measured data are difficult to obtain, and then carry out risk assessmentduj to provide guidance for landslide prevention and control.