Title :
Radar backscatter components from ponderosa pine forests
Author :
Wang, Yong ; Davis, Frank W.
Author_Institution :
Dept. of Geogr., East Carolina Univ., Greenville, NC, USA
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;
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
DOI :
10.1109/IGARSS.1996.516572
