Surface Subsidence Monitoring of Mining Areas in Hunan Province Based on Sentinel-1A and DS-InSAR

Author:

Zhang Liya1,Gao Pengfei1,Gan Zhengzheng1,Wu Wenhao1,Sun Yafeng2,Zhu Chuanguang1,Long Sichun1,Liu Maoqi1ORCID,Peng Hui1

Affiliation:

1. School of Earth Science and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

2. Shanghai Urban Construction Design & Research Institute, Shanghai 200125, China

Abstract

Monitoring the surface subsidence in mining areas is conducive to the prevention and control of geological disasters, and the prediction and early warning of accidents. Hunan Province is located in South China. The mineral resource reserves are abundant; however, large and medium-sized mines account for a low proportion of the total, and the concentration of mineral resource distribution is low, meaning that traditional mining monitoring struggles to meet the needs of large-scale monitoring of mining areas in the province. The advantages of Interferometric Synthetic Aperture Radar (InSAR) technology in large-scale deformation monitoring were applied to identify and monitor the surface subsidence of coal mining fields in Hunan Province based on a Sentinel-1A dataset of 86 images taken from 2018 to 2020, and the process of developing surface subsidence was inverted by selecting typical mining areas. The results show that there are 14 places of surface subsidence in the study area, and accidents have occurred in 2 mining areas. In addition, the railway passing through the mining area of Zhouyuan Mountain is affected by the surface subsidence, presenting a potential safety hazard.

Funder

the National Natural Science Foundation of China

the Scientific Research Project of Hunan Provinical Department of Natural Resources

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference23 articles.

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