Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data
Coal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high-precision and large-scale monitoring methods. Th...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-12-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/15/24/5668 |
| _version_ | 1797379469559726080 |
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| author | Yanan Ji Xiang Zhang Tao Li Hongdong Fan Yaozong Xu Peizhen Li Zeming Tian |
| author_facet | Yanan Ji Xiang Zhang Tao Li Hongdong Fan Yaozong Xu Peizhen Li Zeming Tian |
| author_sort | Yanan Ji |
| collection | DOAJ |
| description | Coal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high-precision and large-scale monitoring methods. Therefore, this paper mainly studies the deformation monitoring of the Datong mining area using Lutan-1 monostatic and bistatic SAR data. Firstly, the latest Lutan-1 bistatic data are used to reconstruct the DSM, and the interferometric calibration method is used to improve the accuracy of the DSM. Then, the surface deformation monitoring of the mining area is implemented by using DInSAR, SBAS-InSAR and Stacking-InSAR with the reconstructed DSM data and Lutan-1 monostatic SAR data. Finally, the deformation monitoring results are compared with the surface deformation results based on the TanDEM data, and both the results are evaluated using the filed leveling data. Taking 20 images covering the Datong mining area as the data sources, the surface deformation results obtained using different InSAR methods in the mining area were quantitatively evaluated and analyzed. The results indicated that: (1) the DSM obtained using the Lutan-1 bistatic SAR data was assessed and demonstrated with the ICESat laser altimetry data an error of 2.8 m, which meets the Chinese 1:50,000 scale DEM cartographic accuracy standard, and the difference analysis with the TanDEM data shows that the terrain changes are mainly distributed in mountainous areas; (2) Due to the improvement in resolution, the registration accuracy of the SAR images and LT-DSM is higher than that of the TanDEM data in the range direction and azimuth direction; (3) Via evaluation with the filed leveling data, it is found that the surface deformation measurement results based on LT-DSM are less affected by terrain, and the accuracy of LT-DSM-SBAS and LT-DSM-DInSAR is improved by 11.5% and 16.3%, respectively, compared with TanDEM-SBAS and TanDEM-DInSAR, which demonstrates the effectiveness of the Lutan-1 bistatic and monostatic data for mine deformation monitoring. |
| first_indexed | 2024-03-08T20:23:41Z |
| format | Article |
| id | doaj.art-092ca014328e430087884fa3f287e5b6 |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-08T20:23:41Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-092ca014328e430087884fa3f287e5b62023-12-22T14:38:56ZengMDPI AGRemote Sensing2072-42922023-12-011524566810.3390/rs15245668Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic DataYanan Ji0Xiang Zhang1Tao Li2Hongdong Fan3Yaozong Xu4Peizhen Li5Zeming Tian6Land Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaJiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaLand Satellite Remote Sensing Application Center, Ministry of Natural Resources, Beijing 100048, ChinaSchool of Geosciences and Info-Physics, Central South University, Changsha 410083, ChinaJiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, ChinaCoal mining leads to surface subsidence, landslides, soil erosion and other problems that seriously threaten the life and property safety of residents in mining areas, and it is urgent to obtain mining subsidence information using high-frequency, high-precision and large-scale monitoring methods. Therefore, this paper mainly studies the deformation monitoring of the Datong mining area using Lutan-1 monostatic and bistatic SAR data. Firstly, the latest Lutan-1 bistatic data are used to reconstruct the DSM, and the interferometric calibration method is used to improve the accuracy of the DSM. Then, the surface deformation monitoring of the mining area is implemented by using DInSAR, SBAS-InSAR and Stacking-InSAR with the reconstructed DSM data and Lutan-1 monostatic SAR data. Finally, the deformation monitoring results are compared with the surface deformation results based on the TanDEM data, and both the results are evaluated using the filed leveling data. Taking 20 images covering the Datong mining area as the data sources, the surface deformation results obtained using different InSAR methods in the mining area were quantitatively evaluated and analyzed. The results indicated that: (1) the DSM obtained using the Lutan-1 bistatic SAR data was assessed and demonstrated with the ICESat laser altimetry data an error of 2.8 m, which meets the Chinese 1:50,000 scale DEM cartographic accuracy standard, and the difference analysis with the TanDEM data shows that the terrain changes are mainly distributed in mountainous areas; (2) Due to the improvement in resolution, the registration accuracy of the SAR images and LT-DSM is higher than that of the TanDEM data in the range direction and azimuth direction; (3) Via evaluation with the filed leveling data, it is found that the surface deformation measurement results based on LT-DSM are less affected by terrain, and the accuracy of LT-DSM-SBAS and LT-DSM-DInSAR is improved by 11.5% and 16.3%, respectively, compared with TanDEM-SBAS and TanDEM-DInSAR, which demonstrates the effectiveness of the Lutan-1 bistatic and monostatic data for mine deformation monitoring.https://www.mdpi.com/2072-4292/15/24/5668Lutan-1TanDEMLT-DSMDInSARSBAS-InSARStacking-InSAR |
| spellingShingle | Yanan Ji Xiang Zhang Tao Li Hongdong Fan Yaozong Xu Peizhen Li Zeming Tian Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data Remote Sensing Lutan-1 TanDEM LT-DSM DInSAR SBAS-InSAR Stacking-InSAR |
| title | Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data |
| title_full | Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data |
| title_fullStr | Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data |
| title_full_unstemmed | Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data |
| title_short | Mining Deformation Monitoring Based on Lutan-1 Monostatic and Bistatic Data |
| title_sort | mining deformation monitoring based on lutan 1 monostatic and bistatic data |
| topic | Lutan-1 TanDEM LT-DSM DInSAR SBAS-InSAR Stacking-InSAR |
| url | https://www.mdpi.com/2072-4292/15/24/5668 |
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