Abstract
Western China is very susceptible to landslide hazards. As a result, landslide detection and early warning are of great importance. This work employs the SBAS (Small Baseline Subset) InSAR Technique for detection and monitoring of large-scale landslides that occurred in Li County, Sichuan Province, Western China. The time series INSAR is performed using descending scenes acquired from TerraSAR-X StripMap mode since 2014 to get the spatial distribution of surface displacements of this giant landslide. The time series results identify the distinct deformation zone on the landslide body with a rate of up to 150mm/yr. The deformation acquired by SBAS technique is validated by inclinometers from diverse boreholes of in-situ monitoring. The integration of InSAR time series displacements and ground-based monitoring data helps to provide reliable data support for the forecasting and monitoring of largescale landslide.
Highlights
Landslide is recognized as a major type of natural hazards in Western China (Liu, Li et al 2013)
Landslide detection and early warning are of great importance in this region considering the severe consequences that large-scale landslides may induce
The 0.5m high-resolution DEM acquired from terrestrial laser scanning is used to remove the topographic errors in SBAS processing chain
Summary
Landslide is recognized as a major type of natural hazards in Western China (Liu, Li et al 2013). The surface deformation measurement is often recognized as one of the most effective methods to monitor landslides and their movements. Among diverse landslide monitoring techniques, Interferometric synthetic aperture radar (InSAR) has great potential for detecting landslide deformation, which can overcome lots of limitations for in-situ observations (Massonnet and Feigl 1998, Ye, Kaufmann et al 2004, Lu et al 2014). Multi-temporal InSAR technique is used widely to exploit the time series deformation process in the landslide and has achieved many acknowledgements (Colesanti, Ferretti et al 2003, Liu, Li et al 2013). We concentrate on the Xishancun Landslide in Li County of Sichuan Province and identify obvious surface displacements using SBAS technique with high resolution TerraSAR-X datasets acquired from 2014 to 2015. The integration of SBAS time series results and ground-based monitoring data helps to better understand the landslide movement and provide reliable data support for landslide monitoring
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