• DocumentCode
    1334141
  • Title

    Electromagnetic scattering from short branching vegetation

  • Author

    Chiu, Tsenchieh ; Sarabandi, Kamal

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    38
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    911
  • Lastpage
    925
  • Abstract
    A polarimetric coherent electromagnetic scattering model for short branching vegetation is developed. With the realistic structures that reasonably describe the relative positions of the particles, this model is able to consider the coherent effect due to the phase difference between the scattered fields from different particles, and account for the second-order, near-field interaction between particles, to which the relative positions and orientation of the particles are essential. The model validation with measurements is also presented, and excellent agreement is obtained. The polarimetric radar backscatter measurements for soybean plants using truck-mounted scatterometers were conducted at L-band and C-band under different soil-moisture conditions. Through an extensive ground truth, the important plant and rough surface parameters such as the soil moisture and surface roughness, vegetation dielectric constant, and geometry of the soybean plants, were characterized for model verification. It is found that the second-order near-field scattering is significant at C-band for fully grown soybeans due to the high vegetation particle density, and at L-band, the contribution from the second-order near field is negligible. The coherence effect is shown to be important at L-band and to a much lesser extent at C-band. This model is then used to demonstrate its ability for estimating the physical parameters of a soybean field, including soil moisture from a polarimetric set of AIRSAR images
  • Keywords
    agriculture; backscatter; geophysical techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; vegetation mapping; C-band; L-band; SHF; UHF; agriculture; backscatter; coherence effect; coherent electromagnetic scattering model; crops; electromagnetic scattering; geophysical measurement technique; land surface; phase difference; radar polarimetry; radar remote sensing; radar scattering; realistic structure; rough surface; second-order near-field interaction; short branching vegetation; soybean; vegetation mapping; Electromagnetic scattering; L-band; Particle scattering; Radar measurements; Radar scattering; Rough surfaces; Soil measurements; Soil moisture; Surface roughness; Vegetation mapping;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0196-2892
  • Type

    jour

  • DOI
    10.1109/36.841974
  • Filename
    841974