• DocumentCode
    814253
  • Title

    A dielectric model of the vegetation effects on the microwave emission from soils

  • Author

    Schmugge, Thomas J. ; Jackson, Thomas J.

  • Author_Institution
    USDA Hydrol. Lab., Beltsville, MD, USA
  • Volume
    30
  • Issue
    4
  • fYear
    1992
  • fDate
    7/1/1992 12:00:00 AM
  • Firstpage
    757
  • Lastpage
    760
  • Abstract
    A layer of vegetation over the soil surface absorbs some of the radiation emitted from the soil and emits at its own temperature. This results in a reduction of the information in the microwave radiation about the soil surface. To study this problem further the authors use the model of F.T. Ulaby and M.A. El-Rayes (1987) for the dielectric constant of vegetation to estimate the absorption loss and optical depth, τ, of plant canopies for frequencies between 1 and 40 GHz. The authors treated τ as the product of a vegetation parameter b and vegetation water content, VW. They compared both the linear and square root (refractive) mixing models with the observed data in terms of the b parameter. These data were obtained from published reports on the values of τ and VW for crops ranging from prairie grass to corn and soybeans. The data fit the curve for the refractive model quite well. For the refractive model the value of b was independent of VW, while for the linear model there was some dependence on VW. For both models b is roughly proportional to the frequency
  • Keywords
    hydrological techniques; microwave imaging; radiometry; remote sensing; soil; 1 to 40 GHz; absorption loss; agriculture; corn; crops; dielectric model; geophysical technique; hydrology; land surface; measurement; microwave emission; plant canopies; prairie grass; refractive model; remote sensing; soil; soybeans; vegetation; Dielectric constant; Dielectric losses; Electromagnetic wave absorption; Frequency estimation; Optical losses; Optical refraction; Soil; Surface treatment; Temperature; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.158870
  • Filename
    158870