Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry
Surface subsidence caused by coal mining has become an important factor that affects and restricts the sustainable development of mining districts. It is necessary to use appropriate methods for effective subsidence monitoring. It is hard to monitor large gradient ground deformations with a high acc...
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MDPI AG
2022-09-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/14/19/4711 |
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| author | Yafei Zhang Xugang Lian Linlin Ge Xiaoyu Liu Zheyuan Du Wenfu Yang Yanru Wu Haifeng Hu Yinfei Cai |
| author_facet | Yafei Zhang Xugang Lian Linlin Ge Xiaoyu Liu Zheyuan Du Wenfu Yang Yanru Wu Haifeng Hu Yinfei Cai |
| author_sort | Yafei Zhang |
| collection | DOAJ |
| description | Surface subsidence caused by coal mining has become an important factor that affects and restricts the sustainable development of mining districts. It is necessary to use appropriate methods for effective subsidence monitoring. It is hard to monitor large gradient ground deformations with a high accuracy by using differential interferometric synthetic aperture radar (DInSAR) technology. Unmanned aerial vehicle (UAV) photogrammetry is limited in that it monitors the basin edge by subtracting two DEMs (digital elevation models). Therefore, in this paper we propose a combination of DInSAR and UAV photogrammetry to complement the two data advantages and to achieve a high-precision monitoring of mining subsidence areas. The subsidence of coal panel 81,403 in the Yangquan coal mine was obtained using DInSAR and UAV photogrammetry technologies. The appropriate fusion points were selected for the two datasets and the agreement between the fusion data and the leveling data was verified. The results indicated that the combination of DInSAR and UAV technology could monitor the settlement more accurately than the single use of DInSAR or UAV technology. |
| first_indexed | 2024-03-09T21:14:51Z |
| format | Article |
| id | doaj.art-45e672c1e6ba4ce592265557648ea7de |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-09T21:14:51Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-45e672c1e6ba4ce592265557648ea7de2023-11-23T21:37:18ZengMDPI AGRemote Sensing2072-42922022-09-011419471110.3390/rs14194711Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV PhotogrammetryYafei Zhang0Xugang Lian1Linlin Ge2Xiaoyu Liu3Zheyuan Du4Wenfu Yang5Yanru Wu6Haifeng Hu7Yinfei Cai8School of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Civil and Environmental Engineering, UNSW Australia, Sydney, NSW 2052, AustraliaShanxi Provincial Key Laboratory of Resources, Environment and Disaster Monitoring, Shanxi Coal Geology Geophysical Surveying Exploration Institute, Jinzhong 030600, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSchool of Mining Engineering, Taiyuan University of Technology, Taiyuan 030024, ChinaSurface subsidence caused by coal mining has become an important factor that affects and restricts the sustainable development of mining districts. It is necessary to use appropriate methods for effective subsidence monitoring. It is hard to monitor large gradient ground deformations with a high accuracy by using differential interferometric synthetic aperture radar (DInSAR) technology. Unmanned aerial vehicle (UAV) photogrammetry is limited in that it monitors the basin edge by subtracting two DEMs (digital elevation models). Therefore, in this paper we propose a combination of DInSAR and UAV photogrammetry to complement the two data advantages and to achieve a high-precision monitoring of mining subsidence areas. The subsidence of coal panel 81,403 in the Yangquan coal mine was obtained using DInSAR and UAV photogrammetry technologies. The appropriate fusion points were selected for the two datasets and the agreement between the fusion data and the leveling data was verified. The results indicated that the combination of DInSAR and UAV technology could monitor the settlement more accurately than the single use of DInSAR or UAV technology.https://www.mdpi.com/2072-4292/14/19/4711subsidence monitoringDInSARUAV photogrammetryfusion dataleveling |
| spellingShingle | Yafei Zhang Xugang Lian Linlin Ge Xiaoyu Liu Zheyuan Du Wenfu Yang Yanru Wu Haifeng Hu Yinfei Cai Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry Remote Sensing subsidence monitoring DInSAR UAV photogrammetry fusion data leveling |
| title | Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry |
| title_full | Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry |
| title_fullStr | Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry |
| title_full_unstemmed | Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry |
| title_short | Surface Subsidence Monitoring Induced by Underground Coal Mining by Combining DInSAR and UAV Photogrammetry |
| title_sort | surface subsidence monitoring induced by underground coal mining by combining dinsar and uav photogrammetry |
| topic | subsidence monitoring DInSAR UAV photogrammetry fusion data leveling |
| url | https://www.mdpi.com/2072-4292/14/19/4711 |
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