Paper
8 November 2014 Small baseline subsets approach of DInSAR for investigating land surface deformation along the high-speed railway
Xiong Rao, Yunwei Tang
Author Affiliations +
Proceedings Volume 9260, Land Surface Remote Sensing II; 92601C (2014) https://doi.org/10.1117/12.2069041
Event: SPIE Asia-Pacific Remote Sensing, 2014, Beijing, China
Abstract
Land surface deformation evidently exists in a newly-built high-speed railway in the southeast of China. In this study, we utilize the Small BAseline Subsets (SBAS)-Differential Synthetic Aperture Radar Interferometry (DInSAR) technique to detect land surface deformation along the railway. In this work, 40 Cosmo-SkyMed satellite images were selected to analyze the spatial distribution and velocity of the deformation in study area. 88 pairs of image with high coherence were firstly chosen with an appropriate threshold. These images were used to deduce the deformation velocity map and the variation in time series. This result can provide information for orbit correctness and ground control point (GCP) selection in the following steps. Then, more pairs of image were selected to tighten the constraint in time dimension, and to improve the final result by decreasing the phase unwrapping error. 171 combinations of SAR pairs were ultimately selected. Reliable GCPs were re-selected according to the previously derived deformation velocity map. Orbital residuals error was rectified using these GCPs, and nonlinear deformation components were estimated. Therefore, a more accurate surface deformation velocity map was produced. Precise geodetic leveling work was implemented in the meantime. We compared the leveling result with the geocoding SBAS product using the nearest neighbour method. The mean error and standard deviation of the error were respectively 0.82 mm and 4.17 mm. This result demonstrates the effectiveness of DInSAR technique for monitoring land surface deformation, which can serve as a reliable decision for supporting highspeed railway project design, construction, operation and maintenance.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiong Rao and Yunwei Tang "Small baseline subsets approach of DInSAR for investigating land surface deformation along the high-speed railway", Proc. SPIE 9260, Land Surface Remote Sensing II, 92601C (8 November 2014); https://doi.org/10.1117/12.2069041
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Cited by 3 scholarly publications.
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KEYWORDS
Synthetic aperture radar

Error analysis

Geodesy

Interferometry

Satellites

Spatial resolution

Atmospheric modeling

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