Surface deformation and analysis of subsidence characteristics in typical mining cities by remote sensing

doi:10.13474/j.cnki.11-2246.2022.0179.

Abstract

Abstract: Surface deformation is an important inducement and manifestation of geological disasters in mining cities. Taking Jiaozuo, a typical mining city as an example, this paper uses the SABS-InSAR method to construct a dense time series surface deformation SAR data set, and extracts the time series of the surface uplift or subsidence rate. The results show that the overall subsidence trend of this typical mining city is most obvious in the northeast of the surface subsidence, the maximum uplift rate is 51.20 mm/a, the maximum subsidence rate is 76.46 mm/a, and the average subsidence rate is 1.45 mm/a. Moreover, the distribution of ground subsidence is mainly located in the goaf area of coal mines, which provides a reference for the monitoring of large-scale ground subsidence in mining cities.

Key words: time series analysis, land subsidence, Sentinel-1A data, mining city, InSAR

CLC Number:

P237

LAN Jinjing, QU Yiqiong, DU Weibing, GAO Xin, MA Dandan, ZHENG Yanchao. Surface deformation and analysis of subsidence characteristics in typical mining cities by remote sensing[J]. Bulletin of Surveying and Mapping, 2022, 0(6): 98-103.

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