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基于时序SAR影像的桂林市地表沉降监测

朱强 兰艳萍 高二涛 陈仕熹 肖云志 邝宏远

桂林理工大学学报2025,Vol.45Issue(6):902-908,7.
桂林理工大学学报2025,Vol.45Issue(6):902-908,7.DOI:10.3969/j.issn.1674-9057.2025.06.012

基于时序SAR影像的桂林市地表沉降监测

Surface subsidence monitoring based on time series SAR images in Guilin

朱强 1兰艳萍 1高二涛 1陈仕熹 1肖云志 1邝宏远1

作者信息

  • 1. 桂林理工大学旅游与风景园林学院,广西桂林 541006||桂林理工大学测绘地理信息学院,广西桂林 541006
  • 折叠

摘要

Abstract

PS-InSAR and SBAS methods are applied to monitor surface deformation in Guilin from 2017 to 2020,using 36 Sentinel-1A images and a 30 m-resolution SRTM DEM.Deformation patterns and their temporal evolution are characterized through analysis of spatial distribution and deformation rates.The results show good spatial a-greement between the deformation zones identified by the two methods in terms of location and magnitude.Integra-tion with urban land-use data indicates that subsidence is primarily attributed to increased in filling of loading and groundwater extraction.The primary subsidence area located in north of Guanghui Village in Qixing District,ex-hibites a cumulative displacement of about 19 mm and a max deformation rate of-11.1 mm/a over the study peri-od.The secondary subsidence area is in the northeast part of Shuita shan(Diecai District),shows greater deform-ation,with a cumulative displacement of about 23 mm and a max deformatim rate of-13.7 mm/a.

关键词

Sentinel-1A/沉降/PS-InSAR/SBAS-InSAR/桂林

Key words

Sentinel-1A/subsidence/PS-InSAR/SBAS-InSAR/Guilin

分类

天文与地球科学

引用本文复制引用

朱强,兰艳萍,高二涛,陈仕熹,肖云志,邝宏远..基于时序SAR影像的桂林市地表沉降监测[J].桂林理工大学学报,2025,45(6):902-908,7.

基金项目

国家自然科学基金项目(21976043 ()

42201463 ()

42371341) ()

广西科技计划项目(2024GXNSFBA010172 ()

2025GXNSFAA069642) ()

广西高校中青年教师科研基础能力提升项目(2023KY0265) (2023KY0265)

广西空间信息与测绘重点实验室开放基金(21-238-21-26) (21-238-21-26)

桂林理工大学学报

OA北大核心CSTPCD

1674-9057

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