Landslide Identification, and Movement Monitoring over Rugged Mountain Areas using Advanced Earth Observation Techniques
Perski, Zbigniew1; Liu, Guang2; Bai, Shibiao3; Glade, Thomas4; Thiebes, Benni3; Fan, Jinghui5; Wang, Jian3; Kang, Zhizhong6; Lv, Guonian3; Huang, Jiazhu3; Yang, Lin3; Jaboyedoff, Michel7; Derron, Marc-Henri7; Wojciechowski, Tomasz1; Michoud, Clement7; Bell, Rainer4; Papathoma-Koehle, Maria4
1Polish Geological Institute - National Research Institute, POLAND; 2Center for Earth Observation and Digital Earth, Chinese Academy of Sciences, CHINA; 3Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, CHINA; 4Department of Geography and Regional Research, University of Vienna, AUSTRIA; 5China Aero Geophysical Survey & RS Center for Land Resources, CHINA; 6Department of Geomatics, School of Land Science and Technology, China University, CHINA; 7Institute of Geomatics and Analysis of Risk, SWITZERLAND

China and Poland are countries with serious geological disasters and experiences high economic damage almost every year. We selected Three Gorges area, Southern Gansu Province in Northwest China, and the Carpathians in Poland as test sites. The overall goal of the proposed project is to utilise a wide range of remote-sensing data to detect and map landslides, to assess their activity and velocity, to determine the spatial-temporal variation of landslides and related consequences, and to apply this in a subsequent hazard and risk assessment to aid local and regional decision makers. It is expected that the results will greatly contribute to contemporary research on the application of remote-sensing technique and in particular InSAR technique assisted by LIDAR technique within landslide research. Hereby, a major benefit will be the availability of high resolution spatial and temporal distributions of landslides and damage. Moreover, in this research the improved SAR image co-registration methods suitable for mountain area including external DEM assisted and local optimum criteria based methods will be developed. An operational algorithm and methodology for monitoring using persistent scatterer interferometry (PS-InSAR) and corner reflector (CR-InSAR) technique on time-series of SAR data will be developed as well, together with solving the critical problems such as multi criteria point target select method, DEM based network construction method, precise CR positing method and CR peak extracting method. Thereby, the robustness of InSAR as a technique for landslides movement monitoring over rugged mountain area will be investigated and improved.