Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology
文献类型：期刊论文
| 作者 | Yao, Jiaming1,2,3; Yao, Xin2; Wu, Zuoqi4; Liu, Xinghong2 |
| 刊名 | JOURNAL OF SENSORS
 |
| 出版日期 | 2021-04-02 |
| 卷号 | 2021页码:14 |
| ISSN号 | 1687-725X |
| DOI | 10.1155/2021/6660922 |
| 通讯作者 | Yao, Xin(yaoxinphd@163.com) |
| 英文摘要 | Underground mining in coal mining areas will induce large-scale, large-gradient surface deformation, threatening the safety of people's lives and property in nearby areas. Due to mining-related subsidence is characterized by fast displacement and high nonlinearity, monitoring this process by using traditional and single interferometric synthetic aperture radar (InSAR) technology is very challenging, and it cannot accurately and quantitatively calculate the deformation of the mining area. In this paper, we proposed a new method that combines both multitemporal consecutive D-InSAR and offset tracking technology to construct a complete deformation field of the coal mining area. Taking into account the accuracy of multitemporal consecutive D-InSAR in calculating small deformation areas and the ability of offset tracking to measure large deformation areas, we utilized their respective advantages to extract the surface influence range and applied an adaptive spatial filtering method to integrate their respective results for inversion of the deformation field. 12 ascending high-resolution TerraSAR-X images (2 m) from September 3, 2018, to October 26, 2019, and 39 descending Sentinel-1 TOPS SAR images from August 5, 2018, to November 4, 2019, in the Ordos Coalfield located at Inner Mongolia, China, were utilized to obtain the whole subsidence field of the working faces F6211 and F6207 during the 454-day mining period. The GPS monitoring station located in the direction of the mining surface is used to verify the accuracy of the above method; at the same time, to a certain extent, the difference between the unmanned aerial vehicle's DSM data acquired after coal mining and the Shuttle Radar Topography Mission (STRM) DEM can qualitatively verify the accuracy of the results. Our results show that the results of TerraSAR are basically consistent with the deformation trend of GPS data, and that of Sentinel-1 have large errors compared with GPS. The maximum central subsidence reaches similar to 12 m in the working face F6211 and similar to 4 m in the working face F6207. In the working face F6207, the good agreement between GPS and TerraSAR results indicated that the method above using high-resolution SAR data could be reliable for monitoring the large deformation area in the mining field. |
| 资助项目 | National Key R&D Program of China[2018YFC1505002] ; CGS Research Fund[JYYWF20181501] ; China Three Gorges Corporation[YMJ(XLD)(19)110] |
| WOS研究方向 | Engineering ; Instruments & Instrumentation |
| 语种 | 英语 |
| 出版者 | HINDAWI LTD |
| WOS记录号 | WOS:000640318800001 |
| 资助机构 | National Key R&D Program of China ; CGS Research Fund ; China Three Gorges Corporation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161798]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Yao, Xin |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Geol Sci, Inst Geomech, Key Lab Evaluat Act Tecton & Crustal Stabil, Beijing 100081, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 4.China Coal Res Inst, Beijing 100013, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yao, Jiaming,Yao, Xin,Wu, Zuoqi,et al. Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology[J]. JOURNAL OF SENSORS,2021,2021:14. |
| APA | Yao, Jiaming,Yao, Xin,Wu, Zuoqi,&Liu, Xinghong.(2021).Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology.JOURNAL OF SENSORS,2021,14. |
| MLA | Yao, Jiaming,et al."Research on Surface Deformation of Ordos Coal Mining Area by Integrating Multitemporal D-InSAR and Offset Tracking Technology".JOURNAL OF SENSORS 2021(2021):14. |
入库方式： OAI收割
来源：地理科学与资源研究所
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