DocumentCode :
124806
Title :
Calculation of Ku- and C-band polarimetric azimuthal dependences of radar backscattering from sea surfaces
Author :
Voronovich, Alexander G. ; Zavorotny, Valery U.
Author_Institution :
Earth Syst. Res. Lab., NOAA, Boulder, CO, USA
fYear :
2014
fDate :
8-11 Jan. 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. Existing airborne and satellite polarimetric radar data at Ku- and C-band show sensitivity of radar signals with various polarizations to anisotropy of the wind-driven ocean waves. The results of such experiments reveal different symmetry properties of the co-polarized backscattering coefficients compared to the correlation coefficients between co-and cross-polarized scattering signals. Usually, comparisons are made with the composite (two-scale) model predictions in order to explain these differences. There is a qualitative agreement between the composite model predictions and the measured polarized backscattering cross sections and corresponding correlations. However, significant quantitative differences remain between the theoretical predictions and experimental data. We performed calculations using the numerical code based on a small slope approximation of the second order (SSA2). It represents a modified, fullypolarized version of the code from (A. Voronovich and V. Zavorotny, Waves Random Media, 11, 247-269, 2001). Here we present results of the SSA2 calculations for the azimuthal dependence of the VV, HH, and VH normalized radar cross sections and off-diagonal correlators for Ku- and C-band radar signals for fixed incidence and various wind speeds. We pay particular attention to various cross-polarization correlators such as the correlation coefficient which describes the correlation between co- (VV) and cross-polarized (VH) radar returns of ocean waves. These modeling results are compared with both the composite model calculations and the experimental data obtained from airborne polarimetric scatterometers and satellite SAR. Generally, the quantitative agreement between the data and SSA2 calculations is better than for the case of the composite model. Differences between the modeled curves and the experimental data are likely a result of the effect of steep and breaking waves unaccounted for by neither the composite model nor the SS- 2.
Keywords :
airborne radar; electromagnetic wave scattering; radar cross-sections; radar polarimetry; radar signal processing; satellite communication; synthetic aperture radar; C-band polarimetric azimuthal dependences; C-band radar signals; Ku-band polarimetric azimuthal dependences; Ku-band radar signals; airborne polarimetric radar; airborne polarimetric scatterometers; co-polarized backscattering; co-polarized scattering signals; composite model; correlation coefficient; cross-polarization correlators; cross-polarized scattering signals; numerical code; off-diagonal correlators; radar backscattering; radar cross sections; satellite SAR; satellite polarimetric radar; sea surfaces; symmetry properties; wind-driven ocean waves; Airborne radar; Atmospheric modeling; Backscatter; Data models; Radar polarimetry; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National
Conference_Location :
Boulder, CO
Print_ISBN :
978-1-4799-3119-4
Type :
conf
DOI :
10.1109/USNC-URSI-NRSM.2014.6928023
Filename :
6928023
Link To Document :
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