Multi-temporal InSAR Analysis of Land Subsidence in the Shaqu Coal Mine Based on a Hybrid Cloud Processing Framework
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.
Fields of Study & Subjects
Synthetic Aperture Radar (SAR) Applications and Techniques
Landslides and related hazards
Karst Systems and Hydrogeology
Publication details
- Journal / source
- Journal of Computing and Electronic Information Management
- Publisher
- Darcy & Roy Press Co. Ltd.
- Volume
- 20
- Issue
- 2
- Pages
- 40–43
- Publication date
- 28 February 2026