Land Subsidence in the Yangtze River Delta, China Explored Using InSAR Technique From 2019 to 2021

The combined effects of global warming and human activities have intensified land subsidence (LS), limiting sustainable development of economy in delta regions. Despite the potential of Interferometric Synthetic Aperture Radar (InSAR) for monitoring LS, its application across vast delta regions may be hindered by complex data processing, high computational demands, and the need for standardized results. To overcome these challenges, we adopted the multi-temporal InSAR (MT-InSAR) technique, integrating a frame data parallel processing strategy and an overall adjustment correction method, to obtain the temporal deformation sequences of the entire Yangtze River Delta (YRD) region in China from Jan. 2019 to Dec. 2021. We calculated the annual average deformation rate and identified deformation areas, with 73.5% concentrated along the Yangtze River, along the coastline, and within the northern Anhui mining area. A significant correlation was observed between LS and anthropogenic activities, such as economic development and land reclamation activities. Further analysis reveals that the increase of GDP growth rate may contribute to LS. Approximately 38% of reclaimed area in the YRD is at risk of LS. Land reclamation activities present a dichotomy, with Hangzhou Bay as the dividing line. This study provides a new perspective and scientific basis for understanding and analyzing LS in deltaic environments, contributing to sustainable development and advancing wide-area InSAR deformation monitoring.

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Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3527748
Citations
4
Primary Topic
Synthetic Aperture Radar (SAR) Applications and Techniques
Type
article
Field-Weighted Citation Impact
19.97
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article

Land Subsidence in the Yangtze River Delta, China Explored Using InSAR Technique From 2019 to 2021

Zhiqiang Xiong, Hesheng Chen, Lin Zeng, Yuexin Wang et al.
4 citations
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Synthetic Aperture Radar (SAR) Applications and Techniques
19.97
article

Land Subsidence in the Yangtze River Delta, China Explored Using InSAR Technique From 2019 to 2021

Zhiqiang Xiong, Hesheng Chen, Lin Zeng, Yuexin Wang, Hongbo Jiang, Ning Li, Guangcai Feng
article en
4 citations

Abstract

The combined effects of global warming and human activities have intensified land subsidence (LS), limiting sustainable development of economy in delta regions. Despite the potential of Interferometric Synthetic Aperture Radar (InSAR) for monitoring LS, its application across vast delta regions may be hindered by complex data processing, high computational demands, and the need for standardized results. To overcome these challenges, we adopted the multi-temporal InSAR (MT-InSAR) technique, integrating a frame data parallel processing strategy and an overall adjustment correction method, to obtain the temporal deformation sequences of the entire Yangtze River Delta (YRD) region in China from Jan. 2019 to Dec. 2021. We calculated the annual average deformation rate and identified deformation areas, with 73.5% concentrated along the Yangtze River, along the coastline, and within the northern Anhui mining area. A significant correlation was observed between LS and anthropogenic activities, such as economic development and land reclamation activities. Further analysis reveals that the increase of GDP growth rate may contribute to LS. Approximately 38% of reclaimed area in the YRD is at risk of LS. Land reclamation activities present a dichotomy, with Hangzhou Bay as the dividing line. This study provides a new perspective and scientific basis for understanding and analyzing LS in deltaic environments, contributing to sustainable development and advancing wide-area InSAR deformation monitoring.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
Central South University (CN), University of South China (CN)
Openalex Percentile: Top 1%
Synthetic Aperture Radar (SAR) Applications and Techniques
19.97
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