• DocumentCode
    884955
  • Title

    The effect of topography on radar scattering from vegetated areas

  • Author

    Van Zyl, Jakob J.

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    31
  • Issue
    1
  • fYear
    1993
  • fDate
    1/1/1993 12:00:00 AM
  • Firstpage
    153
  • Lastpage
    160
  • Abstract
    The ways in which radar scattering from vegetated areas is affected by the topography of the surface underneath the vegetation are discussed. It is shown, using a discrete scatterer model, that the dominant scattering mechanism may change drastically when the ground surface is tilted relative to the horizontal. For a horizontal ground surface, for example, the total scattering may be dominated by scattering off the tree trunks, followed by a reflection off the ground surface. For a relatively small tilt in the ground surface, the ground-trunk interaction term may be replaced by scattering from the branches alone as the dominant scattering mechanism. The effect of the topography is more pronounced for scattering by longer wavelengths, and the implications on algorithms designed to infer forest woody biomass and soil and vegetation moisture using polarimetric SAR data are discussed. The effect of the topography on the scattering behavior from forested areas is illustrated with images acquired by the NASA/JPL three-frequency polarimetric SAR over the Black Forest in Germany
  • Keywords
    electromagnetic wave scattering; forestry; remote sensing by radar; synthetic aperture radar; topography (Earth); Black Forest; C-band; Germany; L-band; P-band; Schwarzwald; branches; discrete scatterer model; forest woody biomass; ground surface; polarimetric SAR data; radar scattering; reflection; soil; topography; tree trunks; vegetated areas; vegetation moisture; Biomass; Predictive models; Propulsion; Radar imaging; Radar polarimetry; Radar scattering; Reflection; Space technology; Surface topography; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.210456
  • Filename
    210456