Abstract
Abstract. In this paper, the subsidence change maps in Langfang were obtained using ASAR images covering Langfang area acquired from August 2007 to September 2010 with the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) technique. Surface subsidence spatial-temporal characteristics in Langfang was investigated. The analysis of experimental results show that 1) prominent uneven subsidence patterns were identified in Langfang. Specifically, surface subsidence rates ranged from −77 mm/year to 4 mm/year, and maximum subsidence rate was detected in Nanjianta Town; 2) the standard deviation of the target point subsidence rates in the study area ranges from 0.8 mm/year to 9.3 mm/year, 70.4% of the monitoring point standard deviations in study area are less than 3 mm/year; 3) surface subsidence time series presented nonlinear variation trend. The surface subsidence has a tendency to gradually expand around the center of Nanjianta Town, and the scope and trend of expansion to the north and west of Langfang are more serious.
Highlights
Langfang is located in the North China Plain, which is short of surface water resources
In order to overcome the limitations of this technique, several time series InSAR techniques and methods have been proposed on the basis of the traditional Differential Interferometric Synthetic Aperture Radar (DInSAR) technique
We selected eighteen level 0 descending ENVISAT ASAR images acquired from 1 August 2007 to 29 September 2010, covering Langfang to estimate the line-ofsight (LOS) average surface subsidence rate and subsidence time series
Summary
Langfang is located in the North China Plain, which is short of surface water resources. Differential Interferometric Synthetic Aperture Radar (DInSAR) overcomes the shortcomings of traditional monitoring methods such as low spatial resolution and high cost (Zhou et al, 2017), and has been successfully applied to seismic deformation detection (Li et al, 2011), landslides (Calò et al, 2014), and urban surface subsidence analysis (Guo et al, 2016). In order to overcome the limitations of this technique, several time series InSAR techniques and methods have been proposed on the basis of the traditional DInSAR technique Such as, the Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR), which can overcome decorrelation and atmospheric delay problems by identifying and analyzing point-like stable reflectors (Ferretti et al, 2001). Small Baseline Subset InSAR (SBASInSAR) is another time series InSAR method that obtain deformation information by analyzing distributed scatterers with high
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