Abstract
Landslide identification and monitoring are two significant research aspects for landslide analysis. In addition, landslide mode deduction is key for the prevention of landslide hazards. Surface deformation results with different scales can serve for different landslide analysis. L-band synthetic aperture radar (SAR) data calculated with Interferometric Point Target Analysis (IPTA) are first employed to detect potential landslides at the catchment-scale Wudongde reservoir area. Twenty-two active landslides are identified and mapped over more than 2500 square kilometers. Then, for one typical landslide, Jinpingzi landslide, its spatiotemporal deformation characteristics are analyzed with the small baseline subsets (SBAS) interferometric synthetic aperture radar (InSAR) technique. High-precision surface deformation results are obtained by comparing with in-situ georobot measurements. The spatial deformation pattern reveals the different stabilities among five different sections of Jinpingzi landslide. InSAR results for Section II of Jinpingzi landslide show that this active landslide is controlled by two boundaries and geological structure, and its different landslide deformation magnitudes at different sections on the surface companying with borehole deformation reveals the pull-type landslide mode. Correlation between time series landslide motion and monthly precipitation, soil moisture inverted from SAR intensity images and water level fluctuations suggests that heavy rainfall is the main trigger factor, and the maximum deformation of the landslide was highly consistent with the peak precipitation with a time lag of about 1 to 2 months, which gives us important guidelines to mitigate and prevent this kind of hazard.
Highlights
Water level fluctuation due to dam construction is a main landslide trigger factor [1]
A landslide in the Wudongde reservoir area along Jinsha River catchment will potentially threaten the safety of the hydropower station and the people who live in the lower reaches
The south bank of the Wudongde reservoir area belongs to Luquan County, Yunnan province, while the north bank belongs to Huidong County, Sichuan province [36]
Summary
Water level fluctuation due to dam construction is a main landslide trigger factor [1]. InSAR-based landslide identification is still a challenging topic, especially in remote mountainous areas without a priori information due to temporal and volume decorrelation, atmospheric artefacts and digital elevation model (DEM) error [27,28,29]. To solve these shortages, multi-temporal InSAR technology has been successfully validated [27]. Zhang et al [34] monitored the deformation of the Shuping landslide with the InSAR technique and suggested that the fluctuation of the Yangtze River water level was the main influential factor of landslide instability. Some comprehensive analyses for the type and trigger factors of the landslide are made by combining phase-based surface deformation, intensity-based soil moisture and the water level measurements
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