Home Journals Articles Updates About
CN
image
收藏切换
Monitoring and Analysis of Land Subsidence in Jiangbei Region of Nanjing Based on DS-InSAR
收藏切换
Qiuyue SONG1, Hongdong FAN1, *, Bangyan ZHU2, Jianyang ZHANG1
Journal of Geodesy and Geodynamics | 2025, 45(2) : 184 - 189
Less
收藏切换
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
Full
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
收藏切换

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
Less
  • 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
Less
Year 2025 volume 45 Issue 2
32
12
Cite this Article
BibTeX
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
Affiliations
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
References
Share
https://castjournals.cast.org.cn/joweb/ddcl/EN/10.14075/j.jgg.2024.03.103
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62662699(Operation and Technical Support)
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House