Choung, Y.-J. and Kim, J.-M., 2019. Relationship between the in-situ-measured sea surface temperatures and the landsat-derived brightness temperatures: A case study in the West Coast of South Korea. In: Lee, J.L.; Yoon, J.-S.; Cho, W.C.; Muin, M., and Lee, J. (eds.), The 3rd International Water Safety Symposium. Journal of Coastal Research, Special Issue No. 91, pp. 336-340. Coconut Creek (Florida), ISSN 0749-0208.
Assessment of the relationship between the sea surface temperature (SST) and the brightness temperature (BT) is necessary for estimating the SST using the BT data derived from the earth observation satellite sensors. This research assessed the relationship between the in-situ-measured SST data and the BT data derived from the Landsat-8 thermal infrared sensors through the linear regression analysis. The statistical results derived from the developed regression model show the following: the SST and BT datasets have a strong and positive relationship, and the BT data is the significant parameter for measuring the SST. In the future research, the various regression models will be compared to select the most appropriate model for estimating the SST using the BT data.