• DocumentCode
    1023567
  • Title

    Numerical Studies of Scattering Properties of Leaves and Leaf Moisture Influences on the Scattering at Microwave Wavelengths

  • Author

    Lin, Bing ; Sun, Wenbo ; Min, Qilong ; Hu, Yongxiang

  • Author_Institution
    Langley Res. Center, Sci. Directorate, NASA, Hampton, VA
  • Volume
    46
  • Issue
    2
  • fYear
    2008
  • Firstpage
    353
  • Lastpage
    360
  • Abstract
    This paper uses a 3-D finite-difference time-domain method to accurately calculate the single-scattering properties of randomly oriented leaves and evaluate the influence of vegetation water content (VWC) on these properties at frequencies of 19.35 and 37.0 GHz. The studied leaves are assumed to be thin elliptical disks with two different sizes and have various VWC values. Although leaf moisture causes considerable absorption in the scattering process, the effective efficiencies of extinction and scattering of leaves essentially linearly increase with VWC, which is critical for forest remote sensing. Calculated asymmetry factors and phase functions also indicate that there is a significant amount of scattered energy at large scattering angles at microwave wavelengths. This paper can improve the modeling of the radiative transfer by vegetation canopies at the higher frequencies of the microwave spectrum, which is important for passive microwave remote sensing.
  • Keywords
    atmospheric boundary layer; finite difference time-domain analysis; radiative transfer; remote sensing; vegetation; 3D finite difference time domain method; asymmetry factors; leaf moisture; leaves; passive microwave remote sensing; phase functions; radiative transfer; scattering properties; vegetation canopies; vegetation water content; Electromagnetic wave absorption; Finite difference methods; Frequency; Moisture; Passive microwave remote sensing; Remote sensing; Scattering; Time domain analysis; Vegetation; Water; Microwave propagation; scattering; vegetation;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/TGRS.2007.912434
  • Filename
    4415264