A monitoring method for large-scale surface subsidence in mining areas using InSAR and measured data

doi:10.13474/j.cnki.11-2246.2024.0902

Abstract

Abstract: Aiming at the problem that interferometric synthetic aperture radar (InSAR) technology is difficult to obtain the information of large-scale subsidence in mining area, an InSAR monitoring method for large-scale subsidence by integrating the measured data proposesed.Firstly, the time-series InSAR accumulated subsidence basin in the mining area is calculated. Then the fusion boundary is determined based on the maximum deformation monitoring gradient of InSAR. Finally, the inverse distance weighting interpolation method is used to integrate the measured data and the InSAR monitoring results to obtain the large number of subsidence basins in the mining area. Taking the 3308 working face of a mine in Shandong province as the research area verify the feasibility and accuracy of the method. The results show that, the large-scale subsisional basins in the mining area extracted by this method are continuous and complete, and the spatial location and morphological characteristics are consistent with the actual mining situation. Compared with the horizontal measurement data, the average error and root mean square error of the fusion results are 73.2 and 111.6 mm respectively, which can obtain more complete and accurate subsisional information in the mining area.

Key words: large-scale subsidence, InSAR, measured data, subsidence basin

CLC Number:

P237

WANG Daoshun, BO Huaizhi, SUN Jian, ZHANG Juan, CHEN Yanhong. A monitoring method for large-scale surface subsidence in mining areas using InSAR and measured data[J]. Bulletin of Surveying and Mapping, 2024, 0(9): 8-13,18.

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