• DocumentCode
    2227838
  • Title

    FDTD based vegetation simulation - Application to multiple wavelengths and vegetation species

  • Author

    Dhar, A. Tishampati ; Gray, B. Doug ; Menges, C. Carl

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. of Adelaide, Adelaide, SA, Australia
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    6565
  • Lastpage
    6568
  • Abstract
    This paper presents a novel technique for full-wave numerical modelling of radar backscatter from vegetation canopies using the Finite Difference Time Domain (FDTD) approach. Multitude of simulation techniques exist for estimating the backscatter from vegetation canopies including analytical techniques and numerical approaches such as FEM and MOM(via commercial products such as HFSS and FEKO). The approach presented here uses the MEEP[1] simulator in parallel mode to efficiently calculate the fields over a time interval using a set of stochastically generated vegetation structures of different species and ground surface with 2 different orders of roughness. The vegetation is modelled using a modification of Ulaby´s water cloud model since water is the dominant material in the vegetation-microwave interaction. This approach shows promise in both numerical field strength estimation and intuitive understanding of microwave propagation in complex vegetation like medium.
  • Keywords
    backscatter; finite difference time-domain analysis; vegetation; vegetation mapping; FDTD based vegetation simulation; FEKO; FEM; HFSS; MEEP simulator; Ulaby water cloud model; analytical techniques; finite difference time domain approach; full-wave numerical model; ground surface; microwave propagation; numerical field strength estimation; numerical techniques; radar backscatter; simulation techniques; vegetation canopies; vegetation species; vegetation structures; vegetation-microwave interaction; Abstracts; Australia; Finite difference methods; Magnetic sensors; Scattering; Time domain analysis; FDTD; radar; simulation; vegetation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6352095
  • Filename
    6352095