The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1939–1943, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1939-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 1939–1943, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1939-2019

  05 Jun 2019

05 Jun 2019

RADAR REMOTE SENSING APPLICATIONS IN LANDSLIDE MONITORING WITH MULTI-PLATFORM INSAR OBSERVATIONS: A CASE STUDY FROM CHINA

T. Qu1,2, Q. Xu2, C. Liu3, Z. Li4, B. Chen1, and K. Dai2 T. Qu et al.
  • 1College of Engineering, Peking University, 100871 Beijing, China
  • 2State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
  • 3College of Surveying and Geo-Informatics, Tongji University, Shanghai 200092, China
  • 4COMET, School of Engineering, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK

Keywords: Radar Remote Sensing, InSAR, Multi-platform, TerraSAR-X, Sentinel-1, Landslide Monitoring

Abstract. In China, landslides are widely distributed in the mountainous areas of western regions. Especially after the Wenchuan Earthquake in 2008, a large number of landslides were triggered. This work focuses on the deformation monitoring of Xishancun Landslide based on multi-platform spaceborne radar remote sensing techniques. The spatio-temporal deformation characteristics of landslide could be retrieved from time series InSAR processing with joint use of Sentinel-1 and TerraSAR-X datasets. Eventually, the deformation and evolution histories are cultivated thoroughly to realize an effective and comprehensive monitoring and research of Xishancun Landslide. This work concludes that spaceborne radar remote sensing applications could demonstrate great potentials to identify the spatio-temporal characteristics and investigate the kinematics for hazardous landslides, especially combined with in situ measurements and other remote sensing observations.