Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 253-256, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-253-2018
© 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, 253-256, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-253-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

POTENTIAL LANDSLIDE EARLY DETECTION NEAR WENCHUAN BY A QUALITATIVELY MULTI-BASELINE DINSAR METHOD

K. Dai1,2, G. Chen3, Q. Xu1, Z. Li4, T. Qu5, L. Hu6, and H. Lu2 K. Dai et al.
  • 1State Key Laboratory of Geohazard Prevention and Geoenviroment Protection, Chengdu University of Technology, Chengdu 610059, China
  • 2College of Earth Sciences, Chengdu University of Technology, Chengdu 610059, China
  • 3Southwest Branch of State Grid Corporation of China(SGCC), Chengdu 641000, China
  • 4COMET, School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK
  • 5College of Engineering, Peking University, Beijing 100871, China
  • 6Beijing Earthquake Agency, Beijing 100080, China

Keywords: Landslide, Early detection, DInSAR, Sentinel-1, Wenchuan

Abstract. Early detection of landslides is important for disaster prevention, which was still very hard work with traditional surveying methods. Interferometric Synthetic Aperture Radar (InSAR) technology provided us the ability to monitor displacements along the slope with wide coverage and high accuracy. In this paper, we proposed a qualitatively multi-baseline DInSAR method to early detect and map the potential landslides. Two sections of China National Highway 317 and 213 were selected as study area. With this method 10 potential landslide areas were early detected and mapped in a quick and effective way. One of them (i.e. Shidaguan landslide) collapsed on August 2017, which was coincident with our results, suggesting that this method could become an effective way to acquire the landslide early detection map to assist the future disaster prevention work.