Surface subsidence monitoring in mining area of SBAS-InSAR based on Sentinel-1A

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Authors

  • Zhou Wentao
     ,CN
  • Zhang Wenjun
     ,CN
  • Geng Shihua
     ,CN
  • Deng Yuntao
     ,CN
  • Liu Xianglong
     ,CN

DOI:

https://doi.org/10.18311/jmmf/2021/27316

Keywords:

SBAS-InSAR, D-InSAR, surface subsidence, levelling, time series analysis

Abstract

In this study, the surface subsidence caused by underground mining is monitored by the technique of SBAS-InSAR. The second west mining area of Longshou mine, Jinchang Jinchuan Cu-Ni sulfide mine, Gansu province, is selected as the research area for the experiment. The 29 scene elevation rail Sentinel-1A image data from 2019.03-2020.3 are analyzed for the sequence analysis of the SBAS-InSAR. The vertical subsidence rate and cumulative subsidence results of the surface sequence of the mining area are obtained. According to the study, the minimum error of cumulative sedimentation between SBAS-InSAR and D-InSAR is 0.1mm, the maximum error is 21.37mm, and the median error is ±6.65mm. The minimum error of cumulative settlement between SBAS-InSAR and levelling is 0.66mm, the maximum is 23.74mm, and the median error is ±10.79mm. The results show that the application of the SBAS-InSAR technique in the monitoring of surface subsidence in the mining area is reliable, which provides an important basis for the subsequent safe mining in the mining area.

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Published

2021-03-12

How to Cite

Wentao, Z., Wenjun, Z., Shihua, G., Yuntao, D., & Xianglong, L. (2021). Surface subsidence monitoring in mining area of SBAS-InSAR based on Sentinel-1A. Journal of Mines, Metals and Fuels, 69(1), 5–11. https://doi.org/10.18311/jmmf/2021/27316

Issue

Volume 69, Issue 1, January 2021

Section

Articles
Crossref
Scopus
Google Scholar
Europe PMC
Received 2021-03-12
Accepted 2021-03-12
Published 2021-03-12

 

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