• DocumentCode
    1994023
  • Title

    Integration of LIDAR data and geological maps for landslide hazard assessment in the Three Gorges Reservoir area, China

  • Author

    Ye, R.Q. ; Niu, R.Q. ; Zhao, Y.N. ; Jiang, Q.Y. ; Wu, T. ; Deng, Q.L.

  • Author_Institution
    Inst. of Geophys. & Geometics, China Univ. of Geosci., Wuhan, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The water storage and millions of immigrants work have a great impact on engineering geological condition which may cause slope instability in the Three Gorges Reservoir area, China. This paper presents regional assessment of landslide hazard from Zigui to Badong based on Light Detection and Ranging (LIDAR) data in combination with geological maps and landslides information of this area. Four essential parameters, including engineering rocks, slope, slope structure and water impact, are extracted from this data. The informative model is employed to create landslide hazard map. The result shows that informative model successfully identified the stable regions as well as instable reservoir banks. Reservoir water and engineering rocks are principle control on slope stability in this area. We also divided the study area into fourteen sections according to the landslide hazard map.
  • Keywords
    cartography; geology; geomorphology; geotechnical engineering; hazards; remote sensing by laser beam; rocks; water resources; China; LIDAR data; Light Detection and Ranging; Three Gorges Reservoir; engineering rocks; geological maps; informative model; landslide hazard assessment; landslide hazard map; slope structure; water impact; water storage slope instability; Geology; Hazards; Laser radar; Reservoirs; Stability analysis; Terrain factors; GIS; LIDAR data; Three Gorges Reservoir area; informative model; landslide assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2010 18th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-7301-4
  • Type

    conf

  • DOI
    10.1109/GEOINFORMATICS.2010.5567616
  • Filename
    5567616