Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/19467
Title: Landslide monitoring by combining of CR-InSAR and GPS techniques
Authors: Zhu, W
Zhang, Q
Ding, X 
Zhao, C
Yang, C
Qu, F
Qu, W
Keywords: Corner Reflector
Globe Positioning System
Interferometric Synthetic Aperture Radar
Landslide monitoring
Issue Date: 2014
Source: Advances in space research, 2014, v. 53, no. 3, p. 430-439 How to cite?
Journal: Advances in Space Research 
Abstract: Considering the limitations related to the landslide monitoring by Interferometric Synthetic Aperture Radar (InSAR) technique, the method of integration of Globe Positioning System (GPS) with Corner Reflector Interferometric SAR (CR-InSAR) techniques is proposed in this paper. Firstly, deformation in radar line-of-slight (LOS) direction is optimized by introducing the GPS-measured height and atmospheric delay products into the CR-InSAR model. Then, GPS-measured horizontal deformation and CR-InSAR measured LOS deformation are combined to produce the more accurate vertical deformation. Finally, high precision three-dimensional deformation (N, E, U) is projected to the along-slope direction to monitor the actual movement of landslide. In order to test this method, four X-band stripmap-mode TerraSAR images, eight Trihedral Corner Reflectors (TCR) data and eight GPS observed data are collected to monitor the deformation of three potential landslide fields located at the north of Shaanxi province, China. The detailed analysis demonstrates that the estimated precision of along-slope direction is about two times better for proposed method (±1.1 mm) versus GPS (±2.1 mm) in this case. Meanwhile, our result indicates that almost all of the monitoring points present the trends of sliding down along the slope at the different levels from April 9 2011 to August 30 2011, showing the certain instability. Further investigation of the relationship between the magnitudes of displacement at CR points and the implementation of early control reflects the rationality of our result. Our proposed method could provide of the strong support in the high precision landslide deformation monitoring.
URI: http://hdl.handle.net/10397/19467
ISSN: 0273-1177
DOI: 10.1016/j.asr.2013.12.003
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