Volume XLI-B1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 89-91, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-89-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 89-91, 2016
https://doi.org/10.5194/isprs-archives-XLI-B1-89-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  02 Jun 2016

02 Jun 2016

APPLICATION OF TIME SERIES INSAR TECHNIQUE FOR DEFORMATION MONITORING OF LARGE-SCALE LANDSLIDES IN MOUNTAINOUS AREAS OF WESTERN CHINA

T. Qu1,2, P. Lu1,2, C. Liu1,2, and H. Wan1,2 T. Qu et al.
  • 1College of Surveying and Geo-Informatics, Tongji University, 1239 Siping Road, Shanghai, China
  • 2Center for Spatial Information Science and Sustainable Development, Tongji University, 1239 Siping Road, Shanghai, China

Keywords: Large-scale Landslide, Western China, InSAR, Small Baseline InSAR, Time Series, Deformation Monitoring

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.