A method for selection of appropriate band combinations for improvement of Sea Surface Temperature (SST) estimation accuracy is proposed. It is found that the proposed method for selection of appropriate band combinations for maximizing SST estimation accuracy using radiative transfer code, MODTRAN-3.7 in this case is useful to investigate a most appropriate SST retrieval algorithm as well as choosing an additional band to the existing band combinations.
In comparison between the band combination of the existing NOAA/AVHRR and the appropriate band combination derived from this study, it is found that 8 to 10% of improvement on SST estimation accuracy can be achieved. Also it is found that the center wavelength of the first to fourth bands of the appropriate combinations are 935cm
-1, 830, 1215, 2705cm
-1, respectively. In this study, a variety of regression equations are tried. It is found that the best regression equation contains the term of the difference of the brightness temperature of the different bands, with and without water vapor absorption as well as the term of air-mass considerations. In comparison between the best regression equation and the regression equation without consideration of the aforementioned water vapor absorption and air mass, it is found that approximately 1.5% of improvement can be achieved for the best equation.
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