Potential loess landslide deformation monitoring using L-band SAR interferometry |
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| Authors: | Yuzhou Liu Xuguo Shi Lu Zhang Cory Cunningham |
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| Institution: | 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing (LIESMARS), Wuhan University, Wuhan, China;2. Collaborative Innovation Center for Geospatial Technology, Wuhan, China;3. Southern Alberta Institute of Technology, Calgary, Canada |
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| Abstract: | Multi-temporal InSAR technique can implement continuous earth surface deformation detection with long time scale and wide geographical coverage. In this paper, we first employ the Small Baseline Subset method to survey potential landslides in Guide County, Qinghai Province, which is identified as a loess landslide prone area for geological and climate conditions. Two anomalous deformation regions are detected by L-band Phased Array and L-band Synthetic Aperture Radar stacks. Then, qualitative and quantitative evaluations of the measuring points are given for understanding the distribution regularity of deformation. Finally, preliminary correlation between the time-series deformation and triggering factors is analyzed to explore the driving mechanism for landslide movement. The results demonstrate that L-band SAR has high potential in landslide monitoring applications and can be used as the basis for landslide recognizing, precursory information extracting, and early warning. |
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| Keywords: | Potential loess landside deformation detection Small Baseline Subset (SBAS) rainfall |
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