Monitoring nonlinear large gradient subsidence in mining areas through SBAS-InSAR with PUNet and Weibull model fusion

The subsidence of the earth’s surface in mining areas is characterized by fast speed and large gradients. Conventional small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) monitoring can significantly underestimate results, making it challenging to capture the surface’s tempor...

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Bibliographic Details
Published in:Environmental science and pollution research international 2024-08, Vol.31 (40), p.52815-52826
Main Authors: Wang, Yuanjian, Cui, Ximin, Ge, Chunqing, Che, Yuhang, Zhao, Yuling, Li, Peixian, Jiang, Yue, Han, Xiaoqing
Format: Article
Language:English
Subjects:
Accuracy
Aquatic Pollution
Atmospheric Protection/Air Quality Control/Air Pollution
Coal mining
Deep learning
Deformation
Earth and Environmental Science
Earth surface
Ecotoxicology
Environment
Environmental Chemistry
Environmental Health
Environmental science
Interferometric synthetic aperture radar
Methods
Monitoring
Monitoring methods
Parameters
Phase unwrapping
Pollution
Research Article
Subsidence
Waste Water Technology
Water Management
Water Pollution Control
Work face
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Summary:The subsidence of the earth’s surface in mining areas is characterized by fast speed and large gradients. Conventional small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) monitoring can significantly underestimate results, making it challenging to capture the surface’s temporal subsidence features. In this context, this paper proposes a method for monitoring subsidence in mining areas. It utilizes a phase unwrapping network (PUNet) and a fused Weibull model within the SBAS-InSAR framework to address nonlinear and large-gradient subsidence. The basic principle of this method is to first process the SAR images using the small baseline method to obtain the differential interferogram, utilizing the PUNet to obtain reliable large-gradient unwrapped phases. Next, the Weibull model parameters of each pixel are calculated based on the unwrapped phase, and the temporal subsidence of each point on the surface is determined using the calculated parameters. This method introduces a nonlinear model into the SBAS-InSAR solution, which is more consistent with the subsidence characteristics of mining areas. Through experimentation in a backfilled mining working face, the proposed method in this paper yields superior monitoring results compared to conventional approaches.
ISSN:1614-7499
0944-1344
1614-7499
DOI:10.1007/s11356-024-34678-9