Three-dimensional deformation monitoring of San Francisco Bay based on GNSS-InSAR data

被引：0

作者：

Chen, Shujun ^{[1
]}

Ma, Mingyue ^{[1
]}

Ma, Yongchao ^{[1
]}

Feng, Xueshang ^{[1
]}

Xu, Guochang ^{[2
]}

Li, Hanyu ^{[1
]}

He, Yufang ^{[1
]}

机构：

[1] Harbin Inst Technol Shenzhen, Inst Space Sci & Appl Technol, Shenzhen 518055, Peoples R China

[2] Chinese Acad Sci, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China

来源：

ADVANCES IN SPACE RESEARCH | 2025年 / 75卷 / 01期

基金：

国家重点研发计划;

关键词：

InSAR; GNSS; Three-dimensional; Robust-Helmert Estimation Method; San Francisco Bay; LAND SUBSIDENCE; SURFACE DEFORMATION; AREA;

D O I：

10.1016/j.asr.2024.09.057

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

As a cutting-edge technology in the field of remote sensing, Synthetic Aperture Radar Interferometry (InSAR) plays a significant role in monitoring urban surface deformation. The traditional multi-temporal InSAR technique can only obtain surface deformation in the line-of-sight (LOS) direction, and there are fewer studies on three-dimensional(3D) deformation monitoring in coastal areas. At the same time, there is a lack of research on integrating GNSS-InSAR data to obtain the three-dimensional deformation field in the San Francisco Bay area. Using ascending and descending orbit InSAR images and GNSS data to monitor ground subsidence in the San Francisco Bay area, various schemes of integrating GNSS and InSAR data to invert the three-dimensional deformation field were analyzed and compared. An improved Robust-Helmert estimation method was proposed to calculate the 3D ground deformation velocity. The results showed that the Robust-Helmert estimation method performed best, with Root Mean Square Error (RMSE) values of 3.96 mm, 6.51 mm, and 2.75 mm in the East-West (E), North-South (N), and Up-Down (U) directions, respectively. It also exhibited more stable solution accuracy and good universality. (c) 2024 Published by Elsevier B.V. on behalf of COSPAR.

引用

页码：451 / 464

页数：14

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