• DocumentCode
    2495390
  • Title

    Estimation of pasture biomass using dual-polarisation radar imagery; a preliminary study

  • Author

    McNeill, S.J. ; Pairman, D. ; Belliss, S.E. ; Dalley, D. ; Dynes, R.

  • Author_Institution
    Landcare Res., Christchurch
  • fYear
    2008
  • fDate
    26-28 Nov. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The efficient management of pasture is a key driver of profitability for New Zealands pastoral dairy and meat industries. Regular monitoring of available pasture feed and feed quality are required regularly for dairy operations. In this paper, we report preliminary results from a study that tests the viability of using short-wavelength imaging radar to estimate pasture biomass. We use six (out of 36) images from the TerraSAR-X satellite, comparing the HH & HV and VV&HV dual-polarisation combinations. Several linear models have been tested for field-measured pasture biomass. The best model is a linear regression using backscatter from the HH & HV combination, resulting in a residual standard error of 191.4 (kg/ha). Most important, this polarisation combination showed no evidence of a date effect, which suggests that this polarisation combination can provide estimation of pasture biomass independent of the surface environmental conditions.
  • Keywords
    radar imaging; renewable materials; dual polarisation radar imagery; linear regression; pasture biomass estimation; short wavelength imaging radar; surface environmental conditions; Biomass; Feeds; Linear regression; Monitoring; Polarization; Profitability; Radar imaging; Satellites; Spaceborne radar; Testing; Pasture biomass; polarimetry; radar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Vision Computing New Zealand, 2008. IVCNZ 2008. 23rd International Conference
  • Conference_Location
    Christchurch
  • Print_ISBN
    978-1-4244-3780-1
  • Electronic_ISBN
    978-1-4244-2583-9
  • Type

    conf

  • DOI
    10.1109/IVCNZ.2008.4762146
  • Filename
    4762146