• DocumentCode
    767793
  • Title

    Radar sensitivity to tree geometry and woody volume: a model analysis

  • Author

    Ferrazzoli, Paolo ; Guerriero, Leila

  • Author_Institution
    Dipartimento di Ingegneria Elettronica, Tor Vergata Univ., Rome
  • Volume
    33
  • Issue
    2
  • fYear
    1995
  • fDate
    3/1/1995 12:00:00 AM
  • Firstpage
    360
  • Lastpage
    371
  • Abstract
    A model, based on radiative transfer theory and the matrix doubling algorithm, is described and used to compute the backscatter coefficients σ°s of forests. The objective is to investigate the radar sensitivity to woody biomass and some geometrical tree properties like branch dimensions and orientation. Model computations show that the backscatter coefficient is sensitive to the woody volume, particularly at HV polarization, P and L band; however, the radar response is appreciably influenced also by branch dimensions and orientation. Comparisons with experimental results available in the literature are shown. The correspondence between predicted and measured σ°s is generally good, although a slight overestimation is noted at L band, while uncertainties about data calibration and soil properties make the comparisons more difficult, in some cases, at P band
  • Keywords
    backscatter; forestry; geophysical techniques; radar applications; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; S-matrix theory; backscatter; backscatter coefficient; branch dimensions; forest forestry vegetation mapping; matrix doubling algorithm; measurement technique; model; orientation; polarimetry; polarization; radar reflection; radar remote sensing; radar response; radar sensitivity; radiative transfer theory; radiowave scattering; tree geometry; wood; woody volume; Backscatter; Biomass; Calibration; Computational modeling; Geometry; Polarization; Radar; Soil measurements; Soil properties; Solid modeling;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.377936
  • Filename
    377936