• DocumentCode
    1301667
  • Title

    Electromagnetic scattering from grassland. II. Measurement and modeling results

  • Author

    Stiles, James M. ; Sarabandi, Kamal ; Ulaby, Fawwaz T.

  • Author_Institution
    Radar Syst. & Remote Sensing Lab., Kansas Univ., Lawrence, KS, USA
  • Volume
    38
  • Issue
    1
  • fYear
    2000
  • fDate
    1/1/2000 12:00:00 AM
  • Firstpage
    349
  • Lastpage
    356
  • Abstract
    For pt.I see ibid., vol.38, no.1, p.339-48 (2000). The validity of a coherent, grassland scattering model is determined by comparing the model predictions with direct measurements of a representative grass canopy. A wheat field was selected as the test target, and polarimetric, multifrequency backscattering data were collected over an entire growing season, along with a complete set of ground-truth data. The L-band measured data demonstrated a strong dependence on azimuthal look direction in relation to the row direction of the wheat. The C-band measurements likewise showed an interesting backscattering response, wherein σνν0 actually increased with incidence angle for many cases. The coherent scattering model provides backscattering data that match and predict these measured data and most of the other measured data well. The model shows that at L-band, the incoherent scattering power alone is insufficient for predicting the measured results, as the coherent terms can dominate the total scattered energy. Additionally, the model, which accounts for this nonuniform illumination of the wheat elements, demonstrates the peculiar data observed for C-band. Likewise, it is demonstrated that the fidelity used to model grass constituents (e.g., curvature) is required to match the scattering measurements accurately
  • Keywords
    agriculture; backscatter; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; vegetation mapping; C-band; L-band; SHF; UHF; agriculture; azimuthal look direction; backscatter; coherent scattering model; geophysical measurement technique; grass; grass canopy; grassland; model; multifrequency backscatter; radar polarimetry; radar remote sensing; radar scattering; row direction; vegetation mapping; wheat; Backscatter; Electromagnetic measurements; Electromagnetic modeling; Electromagnetic scattering; Microwave measurements; Predictive models; Radar scattering; Scattering parameters; Testing; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.823930
  • Filename
    823930