Title :
Frequency dependence of scattering by dense media of small particles based on Monte Carlo simulation of Maxwell equations
Author :
Guo, Jianjun ; Tsang, Leung ; Ding, Kung-Hau ; Chang, Alfred T C ; Chen, Chi-Te
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
1/1/2002 12:00:00 AM
Abstract :
The frequency dependence of extinction and scattering by geophysical medium at microwave frequencies is an important scattering topic because multifrequency measurements are used in remote sensing applications. Classical independent scattering theory states that if the particles are small, scattering is proportional to the fourth power in three-dimensional (3D) scattering and the third power in two-dimensional (2D) scattering. In this paper, the authors present Monte Carlo simulation results of dense media scattering. The dense media consists of densely packed small particles. Solutions are based on rigorous methods of generating dense media and subsequent numerical solutions of Maxwell´s equation. Numerical simulations indicate that the frequency dependence of densely packed sticky particles is weaker than independent scattering
Keywords :
Monte Carlo methods; backscatter; geophysical techniques; hydrological techniques; radar cross-sections; radar theory; radiometry; remote sensing; remote sensing by radar; snow; terrain mapping; Maxwell equations; Monte Carlo method; backscatter; dense media; extinction; frequency dependence; geophysical measurement technique; geophysical medium; hydrology; land surface; measurement technique; microwave frequencies; microwave radiometry; model; multifrequency measurements; passive remote sensing; radar remote sensing; radar scattering; remote sensing; simulation; small particles; snow cover; snowcover; snowpack; terrain mapping; three-dimensional scattering; two-dimensional scattering; Frequency dependence; Frequency measurement; Geophysical measurements; Maxwell equations; Microwave measurements; Optical scattering; Particle scattering; Passive microwave remote sensing; Polarization; Snow;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on