Journal
REMOTE SENSING
Volume 14, Issue 19, Pages -Publisher
MDPI
DOI: 10.3390/rs14194711
Keywords
subsidence monitoring; DInSAR; UAV photogrammetry; fusion data; leveling
Categories
Funding
- National Natural Science Foundation of China [42101414, 51704205]
Ask authors/readers for more resources
Surface subsidence caused by coal mining is a significant factor affecting the sustainable development of mining districts. This study proposes combining DInSAR and UAV photogrammetry to achieve high-precision monitoring of mining subsidence areas, which proves to be more accurate than using either technology alone.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available