Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2341-2345, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2341-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2341-2345, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2341-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

TWO-DIMENSIONAL LOESS LANDSLIDE DEFORMATION MONITORING WITH MULTIDIMENSIONAL SMALL BASELINE SUBSET (MSBAS) – A CASE STUDY OF XINYUAN No.2 LANDSLIDE, GANSU, CHINA

C. Y. Zhao1,2,3, X. J. Liu1, W. Zhu1, and W. F. Zhu1 C. Y. Zhao et al.
  • 1School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China
  • 2State Key Laboratory of Geo-Information Engineering, Xi’an, 710054, China
  • 3National administration of surveying, mapping and geo-information, Engineering research center of national geographic conditions monitoring, Xi’an, 710054, China

Keywords: Landslide monitoring, InSAR, MSBAS, TerraSAR-X, Retrogressive failure

Abstract. The deformation monitoring of active landslides is of great importance for the safety of human lives and properties. And twodimensional deformation result can give us more thoughts on the landslide type and deformation process. In this study, multidimensional small baseline subsets (MSBAS) technique is introduced and tested to compute two-dimensional deformation rate and time series for both east-west and vertical deformation of Xinyuan No.2 landslide by simultaneously processing ascending and descending TerraSAR-X data acquired from January 2016 to November 2016. Results show not only the spatiotemporal characteristics of this landslides, but the retrogressive loess landslide failure mode is revealed for the first time with the two-dimensional deformation.