DocumentCode :
961027
Title :
Simulated and observed backscatter at P-, L-, and C-bands from ponderosa pine stands
Author :
Wang, Yong ; Davis, Frank W. ; Melack, John M.
Author_Institution :
Center for Remote Sensing & Environ. Opt., California Univ., Santa Barbara, CA, USA
Volume :
31
Issue :
4
fYear :
1993
fDate :
7/1/1993 12:00:00 AM
Firstpage :
871
Lastpage :
879
Abstract :
The authors compared the output of the Santa Barbara microwave canopy backscatter model to polarimetric synthetic aperture radar (SAR) data for three ponderosa pine stands (ST-2, ST-11, and SP-2) with discontinuous tree canopies near Mt. Shasta, California, at P-band (0.68-m wavelength), L-band (0.235-m wavelength), and C-band (0.056-m wavelength). Given the SAR data calibration uncertainty, the model made good predictions of the P-HH, P-VV, L-HH, C-HH, and C-HV backscatter for the three stands, and the P-HV and L-HV backscatter for ST-2 and SP-2. The model underestimated C-VV for the three stands, and P-HV, L-HV, and L-VV backscatter for ST-11. The observed and modeled VV-HH phase differences were ≃0° for the three stands at C-band and L-band, and for SP-2 at P-band. At P-band, the observed and modeled VV-HH phase differences were at least -80° for ST-2 and ST-11, which indicates that double-bounce scattering contributes to the total backscatter for the two stands
Keywords :
backscatter; electromagnetic wave reflection; forestry; geophysical techniques; remote sensing; 0.225 to 6.2 GHz; C-band; California; L-band; Mt. Shasta; P-band; SAR; Santa Barbara microwave canopy backscatter model; USA; United States; backscatter; discontinuous tree canopies; forest; land surface; measurement; pine tree; polarimetric synthetic aperture radar; ponderosa pine; radiowave reflection; remote sensing; technique; vegetation; Backscatter; Equations; L-band; Optical scattering; Polarimetric synthetic aperture radar; Predictive models; Radar scattering; Regression tree analysis; Synthetic aperture radar; Testing;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.239910
Filename :
239910
Link To Document :
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