• DocumentCode
    3063571
  • Title

    Hyperspectral assesments of condition and species composition of Australian grasslands

  • Author

    Watson, Christopher J. ; Restrepo Coupe, Natalia ; Huete, Alfredo R.

  • Author_Institution
    Univ. of Technol., Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    21-26 July 2013
  • Firstpage
    2770
  • Lastpage
    2773
  • Abstract
    Temperate grasslands in Australia show dynamic responses to climate, which renders them difficult to study using conventional remote sensing tools. However, the need to adequately describe native grassland variables is critical in maintaining ecological and agricultural values. We used a spectroradiometer to measure leaf-and canopy-level spectra from grassland plots in a controlled environment and compared results to fractional cover and species type. We found that the target species, Themeda australis and Poa labillardierei were separable at canopy and leaf level for both healthy and senescent foliage. In particular, we found differences in the 470-510 nm and 660-700 nm spectral regions. Comparison of narrow band vegetation indices for different combinations of photosynthetic and non-photosynthetic material showed strong relationships across a range of fractional cover values which was co-linear for both species. This method demonstrates the potential for remote sensing to identify Australian grasslands of different quality and composition.
  • Keywords
    ecology; environmental factors; hyperspectral imaging; vegetation mapping; Australian grassland condition; Australian grassland species composition; Poa labillardierei; Themeda australis; canopy level spectra; grassland fractional cover; grassland plots; grassland species type; hyperspectral grassland assessment; leaf level spectra; native grassland variables; nonphotosynthetic material; photosynthetic material; spectroradiometer; temperate grasslands; wavelength 470 nm to 510 nm; wavelength 660 nm to 700 nm; Australia; Hyperspectral imaging; Indexes; Reflectivity; Vegetation mapping; Australia; grasses; hyperspectral sensors; remote sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
  • Conference_Location
    Melbourne, VIC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4799-1114-1
  • Type

    conf

  • DOI
    10.1109/IGARSS.2013.6723398
  • Filename
    6723398