Radar backscatter components from ponderosa pine forests

Author

Wang, Yong ; Davis, Frank W.

Author_Institution

Dept. of Geogr., East Carolina Univ., Greenville, NC, USA

Volume

2

fYear

1996

fDate

27-31 May 1996

Firstpage

1077

Abstract

The authors used a signal decomposition method to study scattering mechanisms in pine forests near Mt. Shasta, CA. Signal decomposition was applied to two sets of the JPL multifrequency airborne synthetic aperture radar (AIRSAR) backscatter data acquired during a wet spring (1991) and a dry summer (1989) conditions. The scattering mechanisms decomposed were scattering power with an odd number of reflections, scattering power with an even number of reflections, and diffused scattering power

Keywords

S-matrix theory; airborne radar; backscatter; botany; forestry; geophysical techniques; radar cross-sections; radar polarimetry; remote sensing by radar; synthetic aperture radar; AIRSAR; California; Mt. Shasta; P-band; Pinus ponderosa; S-matrix; SAR; UHF; USA; United States; VHF; backscatter; forestry; geophysical measurement technique; multifrequency airborne synthetic aperture radar; pine forest; polarization; ponderosa pine; radar polarimetry; radar remote sensing; radar scattering; radar theory; scattering matrix; scattering mechanism; signal decomposition method; vegetation mapping; Backscatter; Blades; Breast; Dynamic range; Information retrieval; L-band; Radar scattering; Rain; Snow; Soil moisture;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516572

Filename

516572