The evaluation of sea surface temperature and the relationship between SST and depth in the Persian Gulf by MODIS

Abstract

Sea surface temperature (SST) is one of the most widely used parameters in studies pertaining to oceanography and the atmosphere. Water surface temperature changes from time to time and plays a significant role in waters and activities of atmospheric system, survival of marine creatures, sea currents, level of salinity and other conditions of sea and lake waters. In order to provide SST images over the Persian Gulf, the MODIS on board the Aqua Satellite was used. Applying lighting assessment out of images from Modis 21-Level 1B Calibrated Radiances -1km in Persian Gulf and the Bushehr sea station (Bouyeh) from global algorithm specified for above sensor was used to estimate the sea surface temperature. With function of Matlab software to extract data of satellite images, and GIS software to convert the matris obtained, the maps of sea surface temperature were used. 48 images taken in 2008, 2009, 2012, and 2013 were selected. Their correlation coefficient was 0.75, 0.86, and 0.75 respectively. Also, the coefficient of determination obtained was 0.86, 0.90, 0.94 and 0.86 respectively. Finally, taking the 31 band temperature into consideration for the years 2008, 2009, 2012, the temperature differences of bands 31 and 32, the sensor angle as independent factors and the Bouyeh temperature as the affiliated factor, the global algorithm coefficient for the Persian Gulf was calibrated through SPSS. In order to check the correctness of the suggested algorithm, the sea surface temperature was reexamined with satellite images from 2013 and the obtained correlation coefficients were 0.96 and 0.94. According to this study, apart from depth, other factors such as sea currents and latitude also have an effect on sea surface temperature. The amount of temperature change especially in the northern and central latitudes, have an inverse relation with depth

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