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Monitoring and Analysis of Land Subsidence in Jiangbei Region of Nanjing Based on DS-InSAR
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Qiuyue SONG1, Hongdong FAN1, *, Bangyan ZHU2, Jianyang ZHANG1
Journal of Geodesy and Geodynamics | 2025, 45(2) : 184 - 189
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Journal of Geodesy and Geodynamics | 2025, 45(2): 184-189
Monitoring and Analysis of Land Subsidence in Jiangbei Region of Nanjing Based on DS-InSAR
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Qiuyue SONG1, Hongdong FAN1, *, Bangyan ZHU2, Jianyang ZHANG1
Affiliations
  • 1 Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
  • 2 Nanjing Institute of Surveying, Mapping and Geotechnical Investigation Co Ltd, 88 Chuangyi Road, Nanjing 210019, China

    • SONG Qiuyue, postgraduate, majors in InSAR deformation monitoring, E-mail:

About Author:

SONG Qiuyue, postgraduate, majors in InSAR deformation monitoring, E-mail:

Published: 2025-02-15 doi: 10.14075/j.jgg.2024.03.103
Outline
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We propose a method for ground deformation monitoring based on distributed scatterer InSAR(DS-InSAR). The method employs the HTCI algorithm for homogenous pixel identification, utilizes eigenvalue decomposition for phase optimization, determines distributed scatterer(DS) based on spatiotemporal coherence, and establishes a relationship model between DS phase and deformation for time series surface deformation inversion. We use 50 scenes of Sentinel-1A images to obtain spatiotemporal distribution information of ground deformation in Jiangbei region of Nanjing from October 2021 to October 2023. The results show that: 1) The correlation coefficient between DS-InSAR results and PS-InSAR results is 0.731, and the point density increases by 6.22 times. DS-InSAR can more completely reflect the spatiotemporal surface deformation of the study area. 2) DS-InSAR is in good agreement with the measured leveling data, with a maximum error of 5.6 mm, an average error of 2.6 mm, and a root mean square error(RMSE) of 3.0 mm. 3) The geological structures, urban development, and rainfall are the main influencing factors causing ground subsidence.

Jiangbei region of Nanjing  /  InSAR  /  distributed scatterer  /  land subsidence monitoring
宋秋月, 范洪冬, 朱邦彦, 张建阳. 基于DS-InSAR的南京江北区域地面沉降监测与分析. 大地测量与地球动力学, 2025 , 45 (2) : 184 -189 . DOI: 10.14075/j.jgg.2024.03.103
Qiuyue SONG, Hongdong FAN, Bangyan ZHU, Jianyang ZHANG. Monitoring and Analysis of Land Subsidence in Jiangbei Region of Nanjing Based on DS-InSAR[J]. Journal of Geodesy and Geodynamics, 2025 , 45 (2) : 184 -189 . DOI: 10.14075/j.jgg.2024.03.103
Funding
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  • Ntional Key Research and Development Program of China(2022YFE0102600)
  • Ntional Key Research and Development Program of China(2017YFE0107100)
  • National Natural Science Foundation of China(42274054)
  • National Natural Science Foundation of China(51774270)
Appendix
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Year 2025 volume 45 Issue 2
28
11
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Article Info
doi: 10.14075/j.jgg.2024.03.103
  • Receive Date：2024-03-13
  • Online Date：2026-10-30
  • Published：2025-02-15
Article Data
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History
  • Received：2024-03-13
Funding
Ntional Key Research and Development Program of China(2022YFE0102600)
Ntional Key Research and Development Program of China(2017YFE0107100)
National Natural Science Foundation of China(42274054)
National Natural Science Foundation of China(51774270)
Affiliations
    1 Key Laboratory of Land Environment and Disaster Monitoring, MNR, China University of Mining and Technology, 1 Daxue Road, Xuzhou 221116, China
    2 Nanjing Institute of Surveying, Mapping and Geotechnical Investigation Co Ltd, 88 Chuangyi Road, Nanjing 210019, China
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https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2024.03.103
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