• DocumentCode
    1292148
  • Title

    Electromagnetic scattering from agricultural vegetation in clusters using Monte Carlo simulation

  • Author

    Li, Shu-Qing ; Wang, Wen-Bing

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Xi´´an Jiaotong Univ., China
  • Volume
    7
  • Issue
    10
  • fYear
    1997
  • fDate
    10/1/1997 12:00:00 AM
  • Firstpage
    332
  • Lastpage
    334
  • Abstract
    An electromagnetic scattering model for agricultural vegetation where leaves occur in clusters is developed in this letter. By applying the Monte Carlo simulation technique, the backscattering properties of vegetation are studied for two different cases where the position distribution of clusters is regular or random. The results show that the position distribution of clusters plays an important role in determining the observed coherent effects. The incoherent scattering parts in the two different cases are almost equal and the regular position distribution of clusters can lead to a strong coherent part despite the random orientation of leaves. The work of this letter indicates that it is necessary for theoretical scattering models to take the position distribution of clusters into account
  • Keywords
    Monte Carlo methods; agriculture; backscatter; electromagnetic wave scattering; remote sensing; EM scattering model; Monte Carlo simulation; agricultural vegetation; backscattering properties; cluster distribution; clustered agricultural canopy; electromagnetic scattering; leaf clusters; microwave remote sensing; random position distribution; regular position distribution; Agricultural engineering; Backscatter; Electromagnetic modeling; Electromagnetic scattering; Optical polarization; Optical scattering; Optical surface waves; Rayleigh scattering; Remote sensing; Vegetation;
  • fLanguage
    English
  • Journal_Title
    Microwave and Guided Wave Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1051-8207
  • Type

    jour

  • DOI
    10.1109/75.631192
  • Filename
    631192