• DocumentCode
    1203229
  • Title

    Stand age retrieval in production forest stands in New Zealand using C- and L-band polarimetric Radar

  • Author

    McNeill, Stephen ; Pairman, David

  • Author_Institution
    Remote Sensing Group, Landcare Res. New Zealand, Lincoln, New Zealand
  • Volume
    43
  • Issue
    11
  • fYear
    2005
  • Firstpage
    2503
  • Lastpage
    2515
  • Abstract
    Regressions of single-, dual-, quad-, and full-polarization L- and C-band synthetic aperture radar (SAR) against stand age from 403 radiata pine stands in Kaingaroa Forest, New Zealand have been carried out, using the National Aeronautics and Space Administration´s Airborne SAR instrument. The regressions attempted to find products suitable for the separation of young (two years or less) from old stands (25 years or older), and for the estimation of stand age. Local incidence angle had no significant effect for C-band, but was always significant for L-band, giving a standard error reduction of 13% to 32% for log stand age. Stand density was highly significant for both bands, giving standard error reductions of 7% to 47%. Single- and dual-polarization products were severely biased, and it was impossible to separate young and old stands, except L-band horizontal-(HH)-plus-horizontal-vertical (HV). C-band quad-polarization gave less bias and lower error than for that L-band, when local incidence angle and stand density were excluded. C-band full-polarization using covariance magnitudes gave no improvement over C-band quad-polarization, but L-band did give a significant improvement. The C- and L-band full-polarization products with six polarimetric indices gave significant improvements in the standard error. The results show that regressions of SAR data with stand age are possible with full- and quad-polarization L- and C-band datasets, although the prediction limits increase rapidly with stand age. The smallest error in estimated stand age, with an RMS of 3.22 years, was for L-band full-polarization with six polarimetric indices, calculated from a validation dataset. Separation of young and old forest stands was only possible for full-, quad-polarization, and the L-band HH-plus-HV products.
  • Keywords
    forestry; microwave measurement; remote sensing by radar; synthetic aperture radar; vegetation mapping; C-band polarimetric radar; Kaingaroa Forest; L-band polarimetric radar; National Aeronautics and Space Administration; New Zealand; covariance magnitudes; forest; forestry; incidence angle; microwave imaging; pine stands; radar polarimetry; stand age retrieval; stand density; synthetic aperture radar; Backscatter; Instruments; L-band; Polarization; Production; Radar imaging; Radar measurements; Radar polarimetry; Spaceborne radar; Synthetic aperture radar; Forestry; microwave imaging; radar polarimetry;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2005.857326
  • Filename
    1522611