Title :
Electromagnetic scattering calculated from pair distribution functions retrieved from planar snow sections
Author :
Zurk, Lisa M. ; Tsang, Leung ; Shi, Jiancheng ; Davis, Robert E.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
fDate :
11/1/1997 12:00:00 AM
Abstract :
Electromagnetic wave scattering in dense media, such as snow, depends on the three-dimensional (3D) pair distribution function of particle positions. In snow, two-dimensional (2D) stereological data can be obtained by analyzing planar sections. In this paper the authors calculate the volume 3D pair distribution functions from the 2D stereological data by solving Hanisch´s integral equation. They first use Monte Carlo simulations for multisize particles to verify the procedure. Next they apply the procedure to available planar snow sections. A log-normal distribution of particle sizes is assumed for the ice grains in snow. To derive multisize pair functions, a least squares fit is used to recover pair functions for particles with sufficient number density and the hole correction approximation is assumed for the larger particles. A family of 3D pair distribution functions are derived. These are then substituted into dense media scattering theory to calculate scattering. It is found that the computed scattering rates are comparable to those calculated under the Percus-Yevick approximation of pair distribution functions of multiple sizes
Keywords :
hydrological techniques; radar cross-sections; radar theory; remote sensing by radar; snow; Hanisch integral equation; Hanisch´s integral equation; Monte Carlo simulation; Percus-Yevick approximation; dense media; electromagnetic scattering; hole correction approximation; hydrology; log-normal distribution; measurement technique; pair distribution function; particle size; planar snow section; radar remote sensing; scattering theory; snow cover; snowcover; three-dimensional structure; two-dimensional stereological data; volume structure; Distribution functions; Electromagnetic scattering; Ice; Laboratories; Least squares approximation; Optical scattering; Particle scattering; Physics; Quantum cellular automata; Snow;
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on