Monte Carlo simulation of backscattering from natural soil surfaces

Author

Casarano, D. ; Posa, F. ; Mattia, F. ; De Carolis, G. ; Souyris, J.C. ; Le Toan, T. ; Pasquariello, G.

Author_Institution

Dipt. Interateneo di Fisica, Bari Univ., Italy

Volume

2

fYear

1997

fDate

3-8 Aug 1997

Firstpage

719

Abstract

The objective of this paper is to investigate the impact of a multiscale roughness description on the surface radar backscattering response. Surfaces are generated using a 2D fractional Brownian motion process. A Monte-Carlo EM simulation based on the Kirchhoff tangent plane approximation is used to derive the backscattering coefficient. Numerical results are compared with backscattering coefficients obtained by means of the IEM model. Exponential, Gaussian and hybrid autocorrelation functions are considered

Keywords

Monte Carlo methods; backscatter; electromagnetic wave scattering; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; soil; IEM model; Kirchhoff tangent plane approximation; Monte Carlo simulation; autocorrelation function; backscatter; backscattering; backscattering coefficients; fractional Brownian motion process; geophysical measurement technique; land surface; multiscale roughness description; natural soil surface; radar remote sensing; radar scattering; rough surface; terrain mapping; Autocorrelation; Backscatter; Brownian motion; Mesh generation; Random processes; Response surface methodology; Rough surfaces; Soil; Surface roughness; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International

Print_ISBN

0-7803-3836-7

Type

conf

DOI

10.1109/IGARSS.1997.615235

Filename

615235