Abstract
Seasonal sea surface (SST) of the Omura Bay was estimated using 13 digital data of Landsat-5 TM thermal infrared (TIR) band. These data consisted of 5 data collected in autumn, 3 in winter, 3 in spring and 2 in summer. The simple regression model between TIR and SST truth data of each season showed that each model is good for estimating the SST with high correlation coefficient and low root mean square (RMS) error. The RMS error are 0.35/spl deg/C for autumn's SST ranges of 18-25/spl deg/C, 0.33/spl deg/C for winter's SST ranges of 8-14/spl deg/C, 0.55/spl deg/C for spring's SST ranges of 12-23/spl deg/C and 0.37/spl deg/C for summer's SST ranges of 25-31/spl deg/C. The potential utility of TIR band in Landsat TM for mapping SST is discussed. >
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