• DocumentCode
    298890
  • Title

    Analysis and modelling of the scattering by randomly tilted trunks with conical shape

  • Author

    Robin, E. ; Guissard, A.

  • Author_Institution
    Univ. Catholique de Louvain, Belgium
  • Volume
    1
  • fYear
    34881
  • fDate
    10-14 Jul1995
  • Firstpage
    619
  • Abstract
    In forestry applications, the use of microwave radar observations is limited by the difficulty to understand the complex interactions between the target and the electromagnetic wave. In this study, the authors concentrate on the so-called trunk-ground corner effect. This effect is strongly dependent on the trunk geometry and its modelling could lead to efficient biomass retrieving algorithms. A method allowing the estimation of the scattering by shape-of-revolution objects with slowly varying radius is used to model the scattering by the trunks and to derive an equivalent cylinder radius. The relation between the backscattering cross-section and geometrical characteristics are investigated and discussed in the perspective of biomass retrieval
  • Keywords
    backscatter; forestry; geophysical techniques; radar applications; radar cross-sections; remote sensing by radar; backscatter model; biomass retrieving algorithm; complex interaction; cross-section; cylinder; forest forestry; geophysical measurement technique; method; microwave; modelling; radar remote sensing; radar scattering; randomly tilted trunk; shape-of-revolution object; tree trunk; trunk geometry; trunk-ground corner effect; vegetation mapping; Biomass; Dielectrics; Forestry; Geometry; Laboratories; Radar applications; Radar scattering; Remote sensing; Shape; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
  • Conference_Location
    Firenze
  • Print_ISBN
    0-7803-2567-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.1995.520474
  • Filename
    520474