Multi-temporal InSAR Analysis of Land Subsidence in the Shaqu Coal Mine Based on a Hybrid Cloud Processing Framework

Litao Xu

doi:10.54097/69agxe41

Authors

Litao Xu

DOI:

https://doi.org/10.54097/69agxe41

Keywords:

Surface Subsidence, InSAR, Hyp3, MintPy, Hybrid Cloud Architecture, Time-series Analysis

Abstract

This study addresses the demand for monitoring intensive surface subsidence in the Shaqu No. 1 and No. 2 coal mines, Shanxi Province, by implementing a hybrid cloud-based InSAR analytical framework. The workflow utilizes the ASF HyP3 cloud platform for automated Sentinel-1 data preprocessing, including interferogram generation and phase unwrapping, integrated with the open-source MintPy toolbox for Small Baseline Subset time-series modeling. The results demonstrate that this approach significantly reduces the dependency on local computational resources while effectively capturing the spatiotemporal evolution of moving subsidence basins. The findings provide critical technical support for operational safety and geohazard mitigation in complex mining environments.

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