Remote sensing in subsidence monitoring

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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Mining Subsidence Monitoring around Longgu Coal Mine Based on Remote Sensing

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.1010-1012.489 ◽

2014 ◽

Vol 1010-1012 ◽

pp. 489-495 ◽

Cited By ~ 1

Author(s):

Hai Qing Wang

Keyword(s):

Remote Sensing ◽

Coal Mine ◽

Mining Subsidence ◽

Remote Sensing Images ◽

Remote Sensing Technology ◽

Sensing Technology ◽

Short Period ◽

Subsidence Monitoring

There are serious mining subsidence around Longgu coal mine, local people's livelihood has been affected seriously. Remote sensing technology was used to survey the mining subsidence, because it is macroscopic, rapid, economic, effective and objective. There were 6 period remote sensing images were collected in total. Those remote sensing images were compared, and the history about those mining subsidence was known. Filed investigation were applied in this articles to survey these mining subsidence, also. The area of these mining subsidence destroyed were: 0.35km2 in December 2010, 0.56km2 in August 2011, 1.01km2 in September 2012, 1.26 km2 in May 2013, 1.53km2 in November 2013. There were a rapidly develop in the four years. The mining subsidence in this area belong to the young type, developed rapidly, trend to destroy great deal farmland during a short period. The mining subsidence should be monitored persistent use remote sensing. The regular about mining subsidence should be further study. And some prediction works should be done based on the regular study.

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Exploitation of the full potential of PSI data for subsidence monitoring

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-372-311-2015 ◽

2015 ◽

Vol 372 ◽

pp. 311-314 ◽

Cited By ~ 3

Author(s):

M. Crosetto ◽

N. Devanthéry ◽

M. Cuevas-González ◽

O. Monserrat ◽

B. Crippa

Keyword(s):

Remote Sensing ◽

Time Series ◽

Full Potential ◽

Persistent Scatterer Interferometry ◽

Sar Images ◽

Remote Sensing Technique ◽

Persistent Scatterer ◽

Land Deformation ◽

Interferometric Sar ◽

Subsidence Monitoring

Abstract. Persistent Scatterer Interferometry (PSI) is a remote sensing technique used to measure and monitor land deformation from a stack of interferometric SAR images. The main products that can be derived using the PSI technique are the deformation maps and the time series of deformation. In this paper, an approach to apply the PSI technique to a stack of Sentinel-1 images is described. Moreover, the problems encountered during the processing are detailed and an explanation of how they were dealt with is provided. Finally, Sentinel-1 deformation maps and time series obtained over the metropolitan area of Mexico DF are shown.

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