Application of time series insar technique for deformation monitoring of large-scale landslides in mountainous areas of western China

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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.

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APA

Qu, T., Lu, P., Liu, C., & Wan, H. (2016). Application of time series insar technique for deformation monitoring of large-scale landslides in mountainous areas of western China. In International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (Vol. 2016-January, pp. 89–91). International Society for Photogrammetry and Remote Sensing. https://doi.org/10.5194/isprsarchives-XLI-B1-89-2016

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