• DocumentCode
    3326852
  • Title

    Hydrothermal alteration mapping using aster data in East Kunlun Mountains, China

  • Author

    He, Zhonghai ; He, Binbin ; Ying Cui

  • Author_Institution
    Inst. of Geo-Spatial Inf. Sci. & Technol., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    4514
  • Lastpage
    4517
  • Abstract
    ASTER has higher spatial resolution in the VNIR region and higher spectral resolution in the shortwave infrared (SWIR) region in comparison with ETM+, which provide us an opportunity to distinguish various clay-alteration minerals accurately. In this paper, the 14 bands of ASTER were adopted to identify the lithologic and hydrothermal alteration minerals, such as the calcite, kaolinite and OH bearing minerals and so on, in the East Kunlun region of China. The effect of different mapping methods presented in the past, including band ratio, relative band-depth (RBD) images, False Color Composite (FCC) and SFF et al, were compared and analyzed. Results indicate that the mineral index method is suit to the high and cold mountainous area and could get the ideal result relative to the others. This work study once more again shows that the multi-spectral remote sensing techniques have excellent potentials for metallic mineral prognostication.
  • Keywords
    geophysical image processing; minerals; remote sensing; ASTER data; China; ETM+ comparison; East Kunlun Mountains; OH bearing minerals; VNIR region; band ratio; calcite; clay-alteration minerals; false color composite; hydrothermal alteration mapping; hydrothermal alteration minerals; kaolinite; lithologic minerals; metallic mineral prognostication; mineral index method; multispectral remote sensing; relative band-depth images; shortwave infrared region; Absorption; Data mining; Hyperspectral imaging; Image color analysis; Indexes; Minerals; ASTER; East Kunlun; hydrothermal alteration mapping; lithologic mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5651085
  • Filename
    5651085