1. 基于时序InSAR的矿区滑坡前地表运动特征分析.
- Author
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贺黎明, 裴攀科, 吴立新, and 张香凝
- Subjects
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LANDSLIDES , *STRIP mining , *ORBITS (Astronomy) , *REMOTE sensing , *TIME series analysis , *RADAR - Abstract
According to the remote sensing monitoring method of the ground deformation before mine landslide, the discrimination basis of the reliability of different orbit SAR data sets was proposed, and the inducing factors of landslide were analyzed. Taking the slope of the Anqian Yabaling open-pit mine in Anshan city as an example, using 44 Sentinel-1 radar images(two groups of ascending orbits and one group of descending orbit), the time series InSAR method was used to analyze the surface movement characteristics of the slope 6 months before the landslide occurred on November 25, 2019. The results show that the monitoring results obtained by different orbit data sets in the same studied area are different. The position of the top and rear edge of the landslide area showed an unusually strong acceleration within a period of time(approximately 45 days) before the landslide. The research results can provide new ideas for early identification of landslide hazard in mining areas using InSAR technology in the future. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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