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- Title
结合 SBAS-InSAR 与光学遥感的矿区地表塌陷监测.
- Authors
王战卫; 安黎明; 张斌; 白潍铭; 贾诗超; 张宇航; 茹曼; 王海侠
- Abstract
Aiming at the problem that it is difficult to obtain comprehensive deformation information in the process of surface subsidence in the mining area, the mining subsidence area of Zhaogu No. 2 coal mine was taken as the research area. Firstly, based on multisource and multi-temporal optical remote sensing images, the comprehensive normalized differential water index was used to extract the accumulated water in the mining subsidence area. Then, SBAS-InSAR technology was used to process Sentinel-1A images of 63 scenes from March 19, 2017 to April 27, 2021 to obtain surface deformation information in the study area. The results show that the increase in the average annual collapse water area is basically stable from 2010 to 2019, and the increase in the average annual collapse water area decreases from 2019 to 2021. The maximum deformation rate in the study area is - 60. 42 mm/ a, and the areas with deformation rate less than - 15 mm/ a have house wall damage and ground cracks. The method proposed effectively extracts the surface deformation information and spatial distribution in the mining subsidence area for a long period of time, provides a new idea for the monitoring of surface subsidence in the mining area, and forms a set of effective methods and procedures for the monitoring of surface subsidence in the mining area, which improves the remote sensing technology. The purpose of macroscopic, rapid and accurate monitoring of surface subsidence in mining area by remote sensing technology was achieved, which provides basic data support for mining area subsidence restoration and ecological environment governance.
- Publication
Science Technology & Engineering, 2023, Vol 23, Issue 17, p7239
- ISSN
1671-1815
- Publication type
Article