• DocumentCode
    529705
  • Title

    Application of remote sensing technique on investigation of landslides along the Li-Xiang railway

  • Author

    Deng, Hui

  • Author_Institution
    State Key Lab. of Geohazard Prevention & Geo Environ. Protection, Chengdu Univ. of Technol., Chengdu, China
  • Volume
    1
  • fYear
    2010
  • fDate
    28-31 Aug. 2010
  • Firstpage
    363
  • Lastpage
    366
  • Abstract
    It is necessary to carry out the investigation and evaluation of geological hazards before the large-scale engineering construction or urban planning. Ground survey is used in traditional methods, but it´s difficult to investigate the regional geological disasters because of its limited vision, unconvenient transport facilities or other reasons. The survey using remote sensing image interpretation, can directly recognise the point of geological disasters, determine the type and its nature, identify its causes, size, degree of hazard, distribution and trends. This article interpretes landslides along the Lixiang railway with the SPOT images and black-white aerial photograph, discusses the process of the original image, establishment of the remote sensing interpretation marks, the methods of interpreting detailed features of landslide. The ideal interpretation results are got.
  • Keywords
    disasters; erosion; geomorphology; geophysical image processing; remote sensing; China; SPOT images; black-white aerial photograph; geological disasters; geological hazard evaluation; landslide investigation; remote sensing image interpretation; remote sensing interpretation marks; remote sensing technique; the Li-Xiang railway; Geology; Image resolution; Rail transportation; Remote sensing; Shape; Solid modeling; Terrain factors; Landslide; Li-Xiang Railway; Remote Sensing Technique; SPOT image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-8514-7
  • Type

    conf

  • DOI
    10.1109/IITA-GRS.2010.5603073
  • Filename
    5603073