Monitoring and analysis of deformation in some areas of Xingtai City from 2019 to 2022 based on MCTSB-InSAR technology

The North China region is the area most severely affected by ground subsidence disasters in China, with noticeable subsidence phenomena occurring particularly in the southern parts. This study selects certain areas in Xingtai City, located in the central-southern region, as the research zone. We employ Multi-Coregistered Target Small Baseline InSAR technology (MCTSB-InSAR) and utilize 98 scenes of Sentinel-1A C-band ascending track data to obtain InSAR time series data from 2019 to 2022. The results reveal annual ground subsidence information for the study area, indicating that both the subsidence range and amount have gradually decreased each year. By selecting characteristic points, we analyze the spatiotemporal variation features, which demonstrate a continuous downward trend in ground subsidence, particularly with significant fluctuations occurring between May and July 2020.

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Publication Details

Published
2025-04-15
DOI
https://doi.org/10.1117/12.3059419
Primary Topic
Remote Sensing and Land Use
Type
article
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article

Monitoring and analysis of deformation in some areas of Xingtai City from 2019 to 2022 based on MCTSB-InSAR technology

Liang Li, Yonghong Zhang, Yonghui Kang
Remote Sensing and Land Use
article

Monitoring and analysis of deformation in some areas of Xingtai City from 2019 to 2022 based on MCTSB-InSAR technology

Liang Li, Yonghong Zhang, Yonghui Kang
article en

Abstract

The North China region is the area most severely affected by ground subsidence disasters in China, with noticeable subsidence phenomena occurring particularly in the southern parts. This study selects certain areas in Xingtai City, located in the central-southern region, as the research zone. We employ Multi-Coregistered Target Small Baseline InSAR technology (MCTSB-InSAR) and utilize 98 scenes of Sentinel-1A C-band ascending track data to obtain InSAR time series data from 2019 to 2022. The results reveal annual ground subsidence information for the study area, indicating that both the subsidence range and amount have gradually decreased each year. By selecting characteristic points, we analyze the spatiotemporal variation features, which demonstrate a continuous downward trend in ground subsidence, particularly with significant fluctuations occurring between May and July 2020.

Liaoning Technical University (CN), Chinese Academy of Surveying and Mapping (CN), Shandong University of Science and Technology (CN)
Sustainable cities and communities
Openalex Percentile: Top 88%
Remote Sensing and Land Use
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Monitoring and analysis of deformation in some areas of Xingtai City from 2019 to 2022 based on MCTSB-InSAR technology — Liang Li, Yonghong Zhang, et al. · (2025) | TGRS Research Map | TGRS