期刊
APPLIED SCIENCES-BASEL
卷 12, 期 18, 页码 -出版社
MDPI
DOI: 10.3390/app12189374
关键词
subsidence monitoring; UAV photogrammetry; airborne LiDAR; co-registration; dynamic subsidence basin
类别
资金
- Scientific Research Fund of Guizhou Provincial Education Department of China [KY [2017] 097]
- Guizhou Province High-level Innovative Talents Project [Graduation Talents [2021] 09]
- National Natural Science Foundation of China [42101414, 51704205]
- Natural Science Foundation of Shanxi Province [201901D111074]
A novel method has been developed using UAV photogrammetry and LiDAR technology to monitor surface subsidence in coal mining areas. The accuracy of the method was verified by constructing a dynamic subsidence basin and quantifying the uncertainty of the differential digital elevation model. The results showed that the method achieved decimeter-level accuracy and had high accuracy in monitoring the maximum subsidence value.
Addressing the problem that traditional methods cannot reliably monitor surface subsidence in coal mining, a novel method has been developed for monitoring subsidence in mining areas using time series unmanned aerial vehicle (UAV) photogrammetry in combination with LiDAR. A dynamic subsidence basin based on the differential digital elevation model (DEM) was constructed and accuracy of the proposed method was verified, with the uncertainty of the DEM of difference (DoD) being quantified via co-registration of a dense matching point cloud of the time series UAV data. The root mean square error calculated for the monitoring points on the subsidence DEM was typically between 0.2 m and 0.3 m with a minimum of 0.17 m. The relative error between the maximum subsidence value of the extracted profile line on the main section after fitting and the measured maximum subsidence value was not more than 20%, and the minimum value was 0.7%. The accuracy of the UAV based method was at the decimeter level, and high accuracy in monitoring the maximum subsidence value was attained, confirming that an innovative strategy for monitoring mining subsidence was realized.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据