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Methods for Monitoring Fast and Large Gradient Subsidence in Coal Mining Areas Using SAR Images: A Review

期刊

IEEE ACCESS
卷 9, 期 -, 页码 159018-159035

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3126787

关键词

Coal mining; Strain; Monitoring; Synthetic aperture radar; Radar polarimetry; Interferometry; Coal; Coal mining subsidence monitoring; SAR; fast and large subsidence; offset tracking; mining subsidence prediction model; 3D laser scanning

资金

  1. State Key Project of National Natural Science Foundation of China -Shanxi Joint Foundation on Coal Based Low Carbon [U1810203]

向作者/读者索取更多资源

Ground subsidence caused by coal mining can cause serious damage to the ecological environment system and economic and social development. The use of SAR image interferometry technology for monitoring coal mining subsidence is common, but monitoring fast and large subsidence remains a challenge. Scholars have developed different methods to address this issue, such as combining InSAR with prediction models and using offset tracking technology with SAR image amplitude information.
Ground subsidence caused by coal mining may lead to serious damage to ecological environment system and economic and social development. SAR image interferometry technology has been widely used for monitoring coal mining subsidence. However, at present monitoring fast and large subsidence using SAR images is still a huge challenge. In order to obtain fast and large gradient subsidence using SAR images, some scholars have resorted to other methods and technology, which do not just depend on the interferograms, and they have obtained better results. In summary, these methods and technology can be grouped into three main categories: (i) Combining InSAR with coal mining subsidence prediction models; (ii) Using SAR image amplitude information offset tracking technology; (iii) Combining InSAR with terrestrial 3D laser scanning technology. In this paper, the technology features, research progress, applications and limitations of these methods are analyzed; and some potential prospects of using SAR images to monitor fast and large subsidence in coal mining areas are discussed in the end.

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