• DocumentCode
    2334648
  • Title

    Helicopter high resolution imaging spectroscopy: Mapping species variation

  • Author

    Goodenough, David G. ; Quinn, Geoffrey S. ; Niemann, K. Olaf ; Chen, Hao ; Ton, D.P.

  • Author_Institution
    Pacific Forestry Centre, Natural Resources Canada, Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A unique high spatial and spectral resolution airborne imaging spectrometer dataset was collected concurrently with a high resolution lidar system and orthophotography from a test site on the north eastern slope of Mauna Kea on the island of Hawaii. Ground reference data were collected including a survey of tree locations, species, and foliar chemistry. Wet lab analysis indicated unique chemical signatures exist for three different species. Through the analysis of canopy spectral responses, differences were noted n the visible range. An Acacia Koa discriminating index was developed based on the continuum removal procedure that consistently identified the locations of A. koa. Additionally, NIR reflectance was found to be exceptionally high n Cryptomeria japonica and Sequoia sempervirens. The NIR responses saturated he sensor and the degree of saturation was scale and wavelength dependent.
  • Keywords
    airborne radar; forestry; optical radar; Acacia Koa discriminating index; Cryptomeria japonica; NIR response; Sequoia sempervirens; canopy spectral response; continuum removal procedure; foliar chemistry; helicopter high resolution imaging spectroscopy; high resolution lidar system; lab analysis; north eastern slope; orthophotography; species variation mapping; spectral resolution airborne imaging spectrometer dataset; tree locations; unique chemical signatures; chemistry; forestry; spectroscopy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011 3rd Workshop on
  • Conference_Location
    Lisbon
  • ISSN
    2158-6268
  • Print_ISBN
    978-1-4577-2202-8
  • Type

    conf

  • DOI
    10.1109/WHISPERS.2011.6080878
  • Filename
    6080878