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- W4317369530 abstract "In the process of developing mine resources, mining subsidence is inevitable. The D-InSAR (differential interferometric synthetic aperture radar) technology has been widely used to monitor large-scale ground subsidence in mining areas in recent years. However, the limitations of this technology mean that large-gradient ground subsidence cannot be monitored. This paper describes a weighted total least-squares method that can be used to determine the piecewise linear mapping between GNSS (global navigation satellite system) data and D-InSAR data. This mapping can be applied to optimize the conventional D-InSAR monitoring results, particularly in large-gradient subsidence areas, enabling the mining subsidence to be comprehensively evaluated. The proposed method is used to extract the surface subsidence information for a certain area of the Sihe mine in Shanxi Province, China. It is found that the optimized data is more reliable and accurate than the conventional D-InSAR monitoring data in the case of large-gradient subsidence." @default.
- W4317369530 created "2023-01-19" @default.
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- W4317369530 date "2021-05-19" @default.
- W4317369530 modified "2023-10-18" @default.
- W4317369530 title "Mining large-gradient subsidence monitoring using D-InSAR optimized by GNSS" @default.
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- W4317369530 doi "https://doi.org/10.1080/13682199.2022.2156667" @default.
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