• DocumentCode
    2102687
  • Title

    Differentiation of selected Australian woodland species using CASI data

  • Author

    Paterson, M. ; Lucas, R.M. ; Chisholm, L.

  • Author_Institution
    Sch. of Geogr., Univ. of New South Wales, Sydney, NSW, Australia
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    643
  • Abstract
    The potential use of Compact Airborne Spectrographic Imager (CASI II) data for discriminating woodland tree species common to the Southern Brigalow Belt of central Queensland was investigated. For an area near Injune, 1:4000 georeferenced stereo aerial photography, plot data relating to tree species and location, and stand visualisation software were used to identify individual tree crowns of six common woodland species within 1 m spatial resolution CASI data, from which their reflectance values were extracted. Based on transformed divergence and Jefferies-Matuista measures, the spectral separability of species was established. The analysis suggested that most species could be readily distinguished using CASI data, although shadowing within and between crowns was considered a limitation. The research, although preliminary, is anticipated to benefit scaling-up of plot-based estimates of biomass to the landscape and assessment of biodiversity
  • Keywords
    forestry; geophysical techniques; vegetation mapping; Australia; CASI; Compact Airborne Spectrographic Imager; IR; Injune; Jefferies-Matuista measure; Queensland; Southern Brigalow Belt; forest; forestry; geophysical measurement technique; infrared; multispectral remote sensing; spectral separability; transformed divergence measure; tree species; vegetation mapping; visible; woodland; Australia; Belts; Biodiversity; Biomass; Data mining; Data visualization; Photography; Reflectivity; Shadow mapping; Spatial resolution;
  • 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.2001.976579
  • Filename
    976579