首页|利用时序InSAR技术监测重庆市主城区地面沉降

利用时序InSAR技术监测重庆市主城区地面沉降

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
本文采用永久性散射体合成孔径雷达干涉测量(persistent scatterer interferometric synthetic aperture,radar,PS-InSAR)技术和短基线集合成孔径雷达干涉测量(small baseline subset InSAR,SBAS-InSAR)技术对2019-01—2021-12间的升轨Sentinel-1数据进行处理,获取重庆市主城区的地面形变信息.监测结果表明,重庆市主城区整体沉降情况比较稳定,年均形变速率在-22.304～23.480 mm/a间,主要沉降区域分布在江北国际机场、宝环路等区域,最大累计沉降量超过69.5 mm.铁路线的沉降主要分布在城区南部的成渝铁路茄子溪-小南海段.将PS-InSAR与SBAS-InSAR结果进行对比,发现两者同名点监测结果在形变趋势和累计形变量上保持了良好的一致性,表明监测结果较为可靠.
Monitoring Land Subsidence in Downtown Area of Chongqing Using Time Series InSAR Technology
Persistent scatterer interferometric synthetic aper-ture(PS-InSAR) and small baseline subset InSAR(SBAS-In-SAR) technologies are used to process the sentinel-1 data from January 2019 to December 2021 to obtain the ground de-formation information of the main urban area of Chongqing. The monitoring results show that the overall settlement in the main urban area of Chongqing is relatively stable,with an av-erage annual deformation rate of-22.304—23.480 mm/a. The main settlement areas are distributed in Huixing street,Baohuan road and other areas,and the maximum settlement exceeds 69.5 mm. The settlement of the railway line is main-ly distributed in the Qiezixi Xiaonanhai section of the Chengdu Chongqing railway in the south of the urban area. By compar-ing the results of PS-InSAR and SBAS-InSAR,we find that the monitoring results of their homonymous points maintain good consistency in deformation trend and cumulative defor-mation variables,which indicate that the monitoring results are relatively reliable.

persistent scatterer interferometric synthetic aperture radar(PS-InSAR)small baseline subset InSAR(SBAS-InSAR)land subsidenceChongqing

袁雨馨、潘建平、赵瑞淇、蔡卓言、李鹏霞

展开 >

重庆交通大学智慧城市学院,重庆,400074

永久性散射体合成孔径雷达干涉测量(persistent scatterer interferometric synthetic aperture,radar,PS-InSAR) 短基线集合成孔径雷达干涉测量(small baseline subset InSAR,SBAS-InSAR) 地面沉降 重庆市

宁夏自治区重点研发计划重庆市研究生联合培养基地建设项目

2022CMG02014JDLHPYJD2019004

2024

10.14188/j.2095-6045.2022831

测绘地理信息
武汉大学

测绘地理信息

CSTPCD
影响因子：0.563
ISSN：1007-3817
年,卷(期)：2024.49(4)