• DocumentCode
    2707242
  • Title

    The research of remote sensing geological interpretation in long-zhang expressway of Hunan

  • Author

    Mao, Hongjiang ; Liu, Rui ; Rao, Xiaojun ; Zhang, Ting

  • Author_Institution
    Chengdu Univ. of Technol., Chengdu, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With China´s continuous economic development, the requirement of transportation capacity is increasing, and a corresponding increase in highway construction is raised to an important position. As regions, which highway route straddled, often have volatile features and complex geological environment. When facing the complicated geological environment, the traditional exploration methods in the field have too many difficulties to cope with, and it is difficult to enhance and ensure the overall level and quality of engineering geological investigation. In this paper, the combination of ETM, TM, SPOT and other different resolution multi-source, multi-temporal remote sensing images and model three-dimensional images superposed by aster satellite to provide digital elevation model (DEM) are used in the interpretation of complexity of the study area along the road of adverse geological conditions; and through field investigation on the interpretation of the results of verification, the results show that this method is effective.
  • Keywords
    digital elevation models; geology; geophysical image processing; geophysical techniques; remote sensing; 3D images; China; ETM images; Long-zhang Expressway; SPOT images; TM images; digital elevation model; geophysical exploration; remote sensing geological interpretation; remote sensing images; transportation capacity; Geology; Hazards; Image resolution; Remote sensing; Road transportation; Terrain factors; Vegetation mapping; DEM; adverse geological; engineering investigation; interpretation of remote sensing; interpretation signs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics, 2011 19th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-024X
  • Print_ISBN
    978-1-61284-849-5
  • Type

    conf

  • DOI
    10.1109/GeoInformatics.2011.5980760
  • Filename
    5980760