Abstract

Application of remote sensing in the estimation of sea surface temperature (SST - Sea Surface Temprature) is one of the research directions with highly applicable. New generation receivers such as MODIS, MERIS ... are located on satellites that can be monitored and provided a large amount of information on the Earth's surface with large scale, higly temporal resolution also allows to research for sea surface temperatureon both multi-spectral and multi-temporal. The results of the article focused on the use of MODIS 8 days combination to estimate the sea surface temperature in the SouthWest water of Vietnam for two wind seasons: the northeast wind season from November to the end of April the next year and the southwest monsoon season from May to October. The algorithm used to calculate the sea surface temperature field in this study has been demonstrated in many previous studies. Surface temperature measurements in the study area on April 5, 7 and 8, 2017 were used to assess correlations with the results obtained from satellite imagery collected at respective dates. The results show that there is a good correlation between the calculated value and the measured value, the square correlation coefficient (R2) of the respective dates is 0.807, 0.8179 and 0.8197. The resulting maps also reflect the law of distribution of the sea surface temperature field in the study area in both wind seasons.