Rough sea surface cost function retrieval models for L and C band
粗糙海面L和C双波段的代价函数多参量遥感反演分析

Based on the cost functions of rough sea surface brightness temperatures, the sensitivities of L and C band brightness temperatures to sea surface salinity (Sss), temperature (Tss), wind speed (U10), and significant wave height (Hsw) were analyzed. By analyzing the cost function sensitivities of vertical and horizontal polarizations for both L and C band, the optimum polarization model was built for retrieving sea surface parameters. We found that (1) the vertical polarizations of both L and C band can be used to simultaneously retrieve Sss and Tss; (2) the vertical polarization of L band and horizontal polarization of C band can be adapted to retrieve Sss and U10 simultaneously; (3) the vertical polarization of L band combining with either vertical or horizontal polarization of C band was suitable for retrieving Sss, Tss and U10; (4) because of the low sensitivity of L band brightness temperature to Hsw parameter, the cost function of both L and C band can not be used to estimate Hsw. Furthermore, with the simulated brightness temperature of additive noises, the optimum multi-polarization models were used to retrieve Sss, Tss and U10. The retrieval results showed that these optimum models were reliable at a higher noise level.