Abstract: Exploring advanced technology of coal-mining subsidence disaster monitoring is an important task to promote the monitoring better. Colliery subsidence disaster monitoring using UAV LiDAR is a new technology of low-flying 3D measurement composed of UAV and LiDAR. In this study, the authors chose the typical subsidence area of Maliantai colliery, Ningdong coal base in Ningxia as the study area, and obtained point cloud data of two time periods in April and August 2017 in the study area based on UAV LiDAR data. The authors obtained the 3D stereogram of colliery subsidence disaster by information extraction and 3D modeling and discovered 3 colliery subsidence disaster areas. Also, using a certain number of existent leveling points and GPS automatic monitoring data, the authors evaluated the accuracy of the model. The results show that the technical methods of colliery subsidence disaster monitoring using UAV LiDAR data meet the requirements of relevant specification. The methods have such features as flexibility, low cost, high efficiency and high precision, and have wide popularization and application value in future.