Journal of electromagnetic engineering and science

The Korean Institute of Electromagnetic Engineering and Science (한국전자파학회)
권호 표지
DOI QR코드

DOI QR Code

Development of a Scattering Model for Soybean Fields and Verification with Scatterometer and SAR Data at X-Band

  • Kweon, Soon-Koo (Dept. of Electronic Information & Communication Engineering, Hongik University) ;
  • Hwang, Ji-Hwan (Dept. of Electronic Information & Communication Engineering, Hongik University) ;
  • Oh, Yi-Sok (Dept. of Electronic Information & Communication Engineering, Hongik University)
  • Received : 2011.09.26
  • Accepted : 2012.02.08
  • Published : 2012.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper presents a scattering model and measurements of backscattering coefficients for soybean fields. The polarimetric radar backscatters of a soybean field were measured using the ground-based X-band polarimetric scatterometer in an angular range from $20^{\circ}$ to $60^{\circ}$. The backscattering coefficients were also obtained using the COSMO-SkyMed (Spotlight mode, HH-polarization) from July to October 2010. The backscattering coefficients of the soybean field were computed using the 1st-order radiative transfer model (RTM) with field-measured input parameters. The soybean layer is composed of the stems, branches, leaves, and soybean pods. The stems, branches, and pods are modeled with lossy dielectric cylinders, the leaves are modeled with lossy dielectric disks. The estimated backscattering coefficients agree quite well with the field-measured radar backscattering coefficients.

Keywords

References

  1. K. Sarabandi, "Monte Carlo simulation of scattering from a layer of vertical cylinders," IEEE Trans. Antennas Propag, vol. 41, no. 4, pp. 465-475, Apr. 1993. https://doi.org/10.1109/8.220978
  2. Y. Oh, K. Sarabandi, and F. T. Ulaby, "An empirical model and an inversion technique for radar scattering from bare soil surfaces," IEEE Trans. Geosci. Remote Sensing, vol. 30, pp. 370-382, Mar. 1992. https://doi.org/10.1109/36.134086
  3. L. Tsang, J. A. Kong, and R. T. Shin, Theory of Microwave Remote Sensing, John Wiley and Sons, 1st edn, 1985.
  4. F. T. Ulaby, M. K. Moore, and A. K. Fung, Microwave Remote Sensing, Active and Passive, vol. 1, Artech House, Norwood, MA, USA, 1982.
  5. Y. Oh, K. Sarabandi, and F. T. Ulaby, "Semi-empirical model of the ensemble-averaged differential Mueller matrix for microwave backscattering from bare soil surfaces," IEEE Trans. Geosci. Remote Sensing, vol. 40, no. 6, pp. 1348-1355, Jun. 2002. https://doi.org/10.1109/TGRS.2002.800232
  6. Y. Oh, J. Y. Hong, "Re-examination of analytical models for microwave scattering from deciduous leaves," IET Microwaves, Antennas, Propag., vol. 1, no. 3, pp. 617-623, Jun. 2007. https://doi.org/10.1049/iet-map:20050081
  7. F. T. Ulaby, C. Elachi, Radar Polarimetry for Geoscience Applications, Artech House, Norwood, MA, USA, 1990.
  8. K. Sarabandi, Y. Oh, and F. T. Ulaby, "Measurement and calibration of differential Mueller Matrix of distributed targets," IEEE Trans. Antenna Propagat., vol. 40, pp. 1524-1532, Dec. 1992. https://doi.org/10.1109/8.204743

Cited by

  1. Validity Regions of Soil Moisture Retrieval on the $\mbox{LAI}$– $\theta$ Plane for Agricultural Fields at L-, C-, and X-Bands vol.12, pp.6, 2015, https://doi.org/10.1109/LGRS.2014.2387948
  2. A Modified Water-Cloud Model With Leaf Angle Parameters for Microwave Backscattering From Agricultural Fields vol.53, pp.5, 2015, https://doi.org/10.1109/TGRS.2014.2364914
  3. Analysis of Backscattering Coefficients of Corn Fields Using the First-Order Vector Radiative Transfer Technique vol.25, pp.4, 2014, https://doi.org/10.5515/KJKIEES.2014.25.4.476