A method for GB-InSAR temporal analysis considering the atmospheric correlation in time series
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A method for GB‑InSAR temporal analysis considering the atmospheric correlation in time series Honglei Yang1 · Jie Liu1 · Junhuan Peng1 · Jingyang Wang2 · Binbin Zhao3 · Bin Zhang4 Received: 5 February 2020 / Accepted: 10 August 2020 © Springer Nature B.V. 2020
Abstract GB-InSAR, with high time-spatial resolution and high accuracy, shows great potential in landslide monitoring. However, the accuracy of GB-InSAR is usually reduced by the atmospheric disturbance and temporal decorrelation. PS-InSAR technology can solve those problems well and get accurate deformation information, so it has been widely adopted in space-borne SAR. For the atmospheric correction, PS-InSAR assumes that the atmospheric phase is only strongly correlated in the space domain. But for GB-InSAR, atmospheric phase shows correlation in both the time and space domains, because of the short time interval. Therefore, the calculation of linear velocity will be affected by the atmospheric disturbance when the PS-InSAR technology is applied to the GB-SAR data. To solve this problem, a PS-InSAR strategy for GB-SAR data considering the atmospheric disturbance in the time domain is proposed. The proposed method uses the differential interferograms interfered by nearby SLCs to ensure the high coherence of interferometric phase and reduces the impact of atmospheric disturbance. The coherence is used for PS selection besides the amplitude deviation index, which can increase the density of PS points. Furthermore, a method for atmospheric correction based on the wrapped phase is presented. Thus, the linear velocity is computed based on the interferogram without most atmospheric disturbance. The validation using the data of the open pit in Malanzhuang, Hebei, China, shows that the proposed method can get a deformation monitoring accuracy of sub-millimeter. Keywords GB-InSAR · Atmospheric disturbance · Time series analysis · PS-InSAR
1 Introduction Disasters, such as landslides, ground subsidence and earthquakes, have plagued people for many years. Deformation monitoring is a significant tool in geo-disaster prediction and protection. Traditional deformation monitoring technologies, such as inclinometer, extensometers, distance meters and GPS, can get the deformation information of some points * Jie Liu [email protected] Extended author information available on the last page of the article
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in the landslide area (Keaton and DeGraff 1996; Allaway et al. 1998). These technologies have high precision, but they require prior information for setting the monitoring targets, and evaluate the stability of the landslide by the deformation information of the dispersed targets. Due to the cost and the difficulty of construction, the available monitoring targets are usually insufficient for assessing the landslide stability. Interferometric synthetic aperture radar (InSAR) is an active microwave deformation detection technology, which has been widely applied in subsidence monitoring and DEM generation. However, InSAR has
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