Improving Boundary Constraint of Probability Integral Method in SBAS-InSAR for Deformation Monitoring in Mining Areas

Mengyao Shi,Bin Zhang,Honglei Yang,Baocun Wang,Junhuan Peng,Zhouzheng Gao

doi:10.3390/rs13081497

Abstract

Coal-mining subsidence causes ground fissures and destroys surface structures, which may lead to severe casualties and economic losses. Time series interferometric synthetic aperture radar (TS-InSAR) plays an important role in surface deformation detection and monitoring without the restriction of weather and sunlight conditions. In addition, the probability integral method (PIM) is a surface movement model that is widely used in the field of mining subsidence. In recent years, the integration of TS-InSAR and the PIM has been extensively studied. In this paper, we propose a new method to estimate mining subsidence with the PIM based on TS-InSAR results. This study focuses on the improvement of a boundary constraint and dynamic parameter estimation in the PIM through the inversion of the line-of-sight (LOS) time series deformation derived by TS-InSAR. In addition, 45 Sentinel-1A images from 17 June 2015 to 27 December 2017 of a coal mine in Jiaozuo are utilized to acquire the surface displacement. We apply a time series deformation analysis using small baseline subsets (SBAS) and place the results into an improved PIM to estimate the mining parameters. The simulated mining subsidence is highly consistent with the leveling data, exhibiting an RMSE of 0.0025 m. Compared with the conventional method, the proposed method is more accurate in discovering displacement in mining areas. In the final section of this paper, some sources of error that affect the experiment are discussed.

Highlights

We propose a new method with a boundary constraint of the goaf in the probability integral method (PIM) during the parameter inversion procedure
Considering the small baseline subsets (SBAS)-InSAR results, the profiles of the proposed method are more suitable for approximating the real deformation, being advantageous compared with the traditional model
The traditional PIM provides a suitable prediction for surface subsidence, complex geological conditions exceeds the original assumptions

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Coal seam roofs may collapse due to non-homogeneous stress, which may cause cracks above the coal seam and subsidence on the surface. The magnitude of subsidence increases as the goaf area increases. If the strata are horizontal, subsidence may appear as a regular subsidence bowl, which may cause damage to people’s lives and property.

Methods

Results

Discussion

Conclusion