InSAR Time-Series Analysis of Land Subsidence under Different Land Use Types in the Eastern Beijing Plain, China

Land subsidence is a global environmental geological hazard caused by natural or human activities. The high spatial resolution and continuous time coverage of interferometric synthetic aperture radar (InSAR) time series analysis techniques provide data and a basis for the development of methods for the investigation and evolution mechanism study of regional land subsidence. Beijing, the capital city of China, has suffered from land subsidence for decades since it was first recorded in the 1950s. It was reported that uneven ground subsidence and fractures have seriously affected the normal operation of the Beijing Capital International Airport (BCIA) in recent years before the overhaul of the middle runway in April 2017. In this study, InSAR time series analysis was successfully used to detect the uneven local subsidence and ground fissure activity that has been gradually increasing in BCIA since 2010. A multi-temporal InSAR (MT-InSAR) technique was performed on 63 TerraSAR-X/TanDem-X (TSX/TDX) images acquired between 2010 and 2017, then deformation rate maps and time series for the airport area were generated. Comparisons of deformation rate and displacement time series from InSAR and ground-leveling were carried out in order to evaluate the accuracy of the InSAR-derived measurements. After an integrated analysis of the distribution characteristics of land subsidence, previous research results, and geological data was carried out, we found and located an active ground fissure. Then main cause of the ground fissures was preliminarily discussed. Finally, it can be conducted that InSAR technology can be used to identify and monitor geological processes, such as land subsidence and ground fissure activities, and can provide a scientific approach to better explore and study the cause and formation mechanism of regional subsidence and ground fissures.

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Monitoring of Land Use and Land Cover Change Detection Using Multi-temporal Remote Sensing and Time Series Analysis of Qena-Luxor Governorates (QLGs), Egypt

Journal of the Indian Society of Remote Sensing ◽

10.1007/s12524-020-01202-8 ◽

2020 ◽

Vol 48 (12) ◽

pp. 1767-1785

Author(s):

Mostafa Kamel

Keyword(s):

Remote Sensing ◽

Land Use ◽

Time Series ◽

Land Cover ◽

Time Series Analysis ◽

Change Detection ◽

Land Cover Change ◽

Series Analysis ◽

Multi Temporal ◽

Land Cover Change Detection

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Relation between Land Subsidence and Deep Groundwater Exploitation in Cangzhou City

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.864-867.2213 ◽

2013 ◽

Vol 864-867 ◽

pp. 2213-2217 ◽

Cited By ~ 1

Author(s):

Ju Yan Zhu ◽

Hai Peng Guo

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Land Subsidence ◽

Quantitative Relationship ◽

Quantitative Relation ◽

Short Term ◽

Deep Groundwater ◽

Groundwater Exploitation ◽

Series Analysis

Due to long-term excessive exploitation of groundwater, serious land subsidence has been caused in Cangzhou City, Hebei Province, China. With GIS spatial analysis method, this paper conducted an analysis of the quantitative relationship between deep groundwater exploitation and the land subsidence in this area. This quantitative relation was analyzed by using data of both long-term and short-term time series. The long-term time series analysis indicates that the land subsidence volume accounts for 57.6% of the amount of deep groundwater exploitation, indirectly showing the proportion of released water from compressibility of the aquifers and the aquitards in deep groundwater exploitation. Some factors such as hysteresis effects of subsidence may be ignored in the short-term time series analysis, thus the calculated ratio becomes significantly large. From perspective of water resources evaluation, the long-term time series analysis is better to analyze the relation between land subsidence and deep groundwater exploitation.

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