Forest discrimination using SAR multifrequency and multipolarization data

Author

Dong, Yunhan ; Richards, John A.

Author_Institution

Dept. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia

Volume

1

fYear

34881

fDate

10-14 Jul1995

Firstpage

616

Abstract

A description of a low to medium frequency forest backscatter model developed by the authors is given. Total backscattering from four forest components through six mechanisms is obtained using techniques including the Stratton-Chu integral, distorted Born and Kirchhoff approximations. Backscattering coefficient, polarization phase difference and polarization index analyses are reported. Simulated results agree with SAR data acquired by the JERS-1 and NASA/JPL AirSAR systems. Discrimination between different forest species, eucalypts and pines, for example, is demonstrated

Keywords

backscatter; forestry; geophysical techniques; radar applications; radar cross-sections; radar polarimetry; remote sensing by radar; spaceborne radar; synthetic aperture radar; Kirchhoff approximation; SAR multifrequency; Stratton-Chu integral; backscatter model; distorted Born approximation; eucalypt; forest discrimination; forestry type; geophysical measurement technique; image classification; index analyses; land surface; multipolarization; pine; polarization phase difference; radar polarimetry; radar remote sensing; synthetic aperture radar; total backscattering; vegetation mapping; Backscatter; Dielectric losses; Equations; Facsimile; Frequency; Kirchhoff´s Law; Polarization; Radar scattering; Rough surfaces; Surface roughness;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.520473

Filename

520473