Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods

Multi-temporal InSAR (MT-InSAR) methods have been widely used in remote sensing monitoring of ground subsidence, which occurs at many places around the world. Land subsidence, caused by excessive extraction of groundwater, has always been a problem to be solved in Tianjin, China. Although the subsid...

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Main Authors: Dong Li, Xiyong Hou, Yang Song, Yuxin Zhang, Chao Wang
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/10/16/5514
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author Dong Li
Xiyong Hou
Yang Song
Yuxin Zhang
Chao Wang
author_facet Dong Li
Xiyong Hou
Yang Song
Yuxin Zhang
Chao Wang
author_sort Dong Li
collection DOAJ
description Multi-temporal InSAR (MT-InSAR) methods have been widely used in remote sensing monitoring of ground subsidence, which occurs at many places around the world. Land subsidence, caused by excessive extraction of groundwater, has always been a problem to be solved in Tianjin, China. Although the subsidence in the urban area has been controlled at a low rate, the subsidence issue has not been effectively solved in the suburban area recently, which should be paid much attention. This paper aims to present two multi-temporal differential interferometry techniques, persistent scatterer (PS) and small baseline subset (SBAS), for monitoring the latest surface subsidence in a Tianjin study area on the basis of 20 Sentinel-1A images obtained from March 2017 to March 2019. Our research showed that the average velocity map obtained from the SBAS method closely followed the outcomes of the PS technique from the perspective of identifying similar subsidence patterns. Subsidence rate gradually increased from the urban area of Tianjin to the suburbs and high subsidence zones were mainly distributed at the junction of the Wuqing, Xiqing and Beichen districts. In the past two years, the annual average subsidence rate in the high settlement area mostly exceeded −50 mm/year, which caused serious damage to local infrastructures. Besides, high-resolution remote sensing images combined with field investigations further verified the successful application of MT-InSAR technology in Tianjin’s subsidence monitoring. Effective ground subsidence control measures need to be taken as soon as possible to prevent the situation from getting worse.
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spelling doaj.art-8d2ea0a61f854f38b596d4f0373d20442023-11-20T09:37:45ZengMDPI AGApplied Sciences2076-34172020-08-011016551410.3390/app10165514Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR MethodsDong Li0Xiyong Hou1Yang Song2Yuxin Zhang3Chao Wang4Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, ChinaYantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, ChinaYantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, ChinaYantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264000, ChinaCollege of Geography and Environment, Shandong Normal University, Jinan 250000, ChinaMulti-temporal InSAR (MT-InSAR) methods have been widely used in remote sensing monitoring of ground subsidence, which occurs at many places around the world. Land subsidence, caused by excessive extraction of groundwater, has always been a problem to be solved in Tianjin, China. Although the subsidence in the urban area has been controlled at a low rate, the subsidence issue has not been effectively solved in the suburban area recently, which should be paid much attention. This paper aims to present two multi-temporal differential interferometry techniques, persistent scatterer (PS) and small baseline subset (SBAS), for monitoring the latest surface subsidence in a Tianjin study area on the basis of 20 Sentinel-1A images obtained from March 2017 to March 2019. Our research showed that the average velocity map obtained from the SBAS method closely followed the outcomes of the PS technique from the perspective of identifying similar subsidence patterns. Subsidence rate gradually increased from the urban area of Tianjin to the suburbs and high subsidence zones were mainly distributed at the junction of the Wuqing, Xiqing and Beichen districts. In the past two years, the annual average subsidence rate in the high settlement area mostly exceeded −50 mm/year, which caused serious damage to local infrastructures. Besides, high-resolution remote sensing images combined with field investigations further verified the successful application of MT-InSAR technology in Tianjin’s subsidence monitoring. Effective ground subsidence control measures need to be taken as soon as possible to prevent the situation from getting worse.https://www.mdpi.com/2076-3417/10/16/5514ground subsidencePS-InSARSBAS-InSARSentinel-1ATianjin
spellingShingle Dong Li
Xiyong Hou
Yang Song
Yuxin Zhang
Chao Wang
Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
Applied Sciences
ground subsidence
PS-InSAR
SBAS-InSAR
Sentinel-1A
Tianjin
title Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
title_full Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
title_fullStr Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
title_full_unstemmed Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
title_short Ground Subsidence Analysis in Tianjin (China) Based on Sentinel-1A Data Using MT-InSAR Methods
title_sort ground subsidence analysis in tianjin china based on sentinel 1a data using mt insar methods
topic ground subsidence
PS-InSAR
SBAS-InSAR
Sentinel-1A
Tianjin
url https://www.mdpi.com/2076-3417/10/16/5514
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