Abstract: The traditional methods for monitoring subsidence in mining areas have problems such as weak data processing
capabilities and poor adaptability to complex terrains,making it difficult to meet the requirements for high-precision and largescale
monitoring. By integrating unmanned aerial vehicle (UAV) photogrammetry with LiDAR technique,a monitoring method
for mining subsidence areas was proposed. Firstly,the UAV photogrammetry technique was used to extract the texture information
of the mining area,and then the high-precision three-dimensional coordinates of the mining area were obtained through Li-
DAR technology. At the same time,the global navigation satellite system (GNSS) dynamic measurement was introduced into
the LiDAR,and finally,the LiDAR point cloud and the UAV image data were registered and fused in a unified coordinate system.
The monitoring data obtained using GPS measured data from a certain mining area in Shanxi Province,as well as the UAV
photogrammetry,LiDAR technique,and the proposed method were compared. The results show that the monitoring accuracy of
this method is better than 0. 5 mm,with an average absolute error (MAE) of only 0. 39 mm and a root mean square error
(RMSE) of only 0. 42 mm,which is significantly lower than that of UAV photogrammetry and LiDAR technology. This reflects
that the measurement accuracy of this method has certain advantages over UAV photogrammetry and LiDAR measurement,and
can meet engineering requirements to a certain extent.