• DocumentCode
    2218892
  • Title

    Discrimination soil salinization distribution in the middle region of Heihe River basin using TM data

  • Author

    Wu, Yueru ; Han, Xujun ; Wang, Weizhen

  • Author_Institution
    Cold & Arid Regions Environ. & Eng. Inst., Lanzhou, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    4225
  • Lastpage
    4228
  • Abstract
    A preliminary study has been conducted to test the effectiveness of the stepwise canonical discriminant approach to making spatial discrimination of salt-affected soil surfaces, using the Landsat TM data taken in the middle reaches of the Heihe River, China. We regard a saline area as being composed of salt-affected patches differ in degree and try to make discrimination of salt-affected soil surfaces by stepwise canonical discriminant approach. Five indices (B4, Wetness, SI, NDSI, Fe2O3) were selected as discriminating variables, and two canonical discriminant functions (y1, y2) were determined for the three groups using these five discriminating variables. When group centroids and individual cases were plotted on the plane determined by two canonical discriminant functions y1 and y2, the groups were quite distinct and their centroids were well separated. These results suggest that the stepwise canonical discriminant approach is promising for spatial discrimination of salt-affected soil surfaces.
  • Keywords
    geochemistry; rivers; soil; China; Heihe river basin; Landsat TM data; canonical discriminant functions; saline area; salt-affected patches; salt-affected soil surfaces; soil salinization distribution; stepwise canonical discriminant approach; Earth; Indexes; Remote sensing; Rivers; Satellites; Silicon; Soil; Heihe River; Landsat TM data; Soil salinization; Stepwise Canonical discriminant approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351736
  • Filename
    6351736