Abstract: Landslide-related hazards in Beijing are characterized by large quantity, small scale, weak deformation, and significant impact. Currently, there are still a large number of unknown collapse hazards and landslide hazards, and early identification of these hazards is urgently needed to improve the risk management and control capabilities of geological hazards. By comprehensively utilizing cutting-edge remote sensing technologies such as optical remote sensing, time-series InSAR, real-scene 3D modeling, and airborne LiDAR, this study analyzes and summarizes the remote sensing identification features of landslide-related geological hazards in the Xishan area of Beijing. A number of collapse hazards and landslide hazards are successfully identified, and the distribution characteristics and development laws of these hazards are analyzed. The research results show that: The application of integrated remote sensing technologies for early identification of small-scale and weak-deformation collapse hazards and landslide hazards is effective and reliable; At present, high-resolution optical remote sensing remains the primary method for identifying collapse hazards, while time-series InSAR technology and high-resolution optical remote sensing are the core methods for landslide hazards. Real-scene 3D models and airborne LiDAR-derived true terrain models are important auxiliary data for identifying hazard hidden dangers; Ground subsidence induced by coal mine goafs is a significant influencing factor for the development of landslide hazards in the Xishan area of Beijing.