• DocumentCode
    2138732
  • Title

    Discriminating vegetation with hyperspectral imagery - what is possible?

  • Author

    Lewis, M.M.

  • Author_Institution
    Dept. of Soil & Water, Adelaide Univ., SA, Australia
  • Volume
    6
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2899
  • Abstract
    This paper summarises recent research conducted within the Spatial Information Research Group at Adelaide University, which has explored the spectral characteristics and variability of several plant groups and aimed to apply airborne hyperspectral imagery to tasks involving the discrimination of different plant types. The settings for the research have included both natural vegetation communities and horticultural enterprises in southern Australia. The paper discusses the relevance of the conventional spectral library concept for hyperspectral studies, comments on hyperspectral image analysis methodologies that appear to be useful for vegetation studies, and presents results to date
  • Keywords
    agriculture; geophysical signal processing; geophysical techniques; multidimensional signal processing; vegetation mapping; Australia; IR; agriculture; airborne remote sensing; discrimination; geophysical measurement technique; horticulture; hyperspectral imagery; hyperspectral remote sensing; image analysis; infrared; natural vegetation; plant groups; plant types; spectral characteristics; spectral library; variability; vegetation mapping; visible; Australia; Hyperspectral imaging; Hyperspectral sensors; Infrared spectra; Libraries; Pigmentation; Plants (biology); Reflectivity; Soil; Vegetation mapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
  • Conference_Location
    Sydney, NSW
  • Print_ISBN
    0-7803-7031-7
  • Type

    conf

  • DOI
    10.1109/IGARSS.2001.978199
  • Filename
    978199