In this research, sea surface temperature (SST) variability for the summer season in the Aegean Sea was analysed over a period of 30 years by using the Landsat thermal infrared bands. A total of 88 Landsat 5, 7, and 8 thermal infrared satellite images from June, July, and August were used for each year from 1989 to 2019. To estimate SST from the thermal infrared band data, thermal infrared sensor at-sensor spectral radiance, and thermal infrared sensor top-of-atmosphere brightness temperatures were used. SST pixel values were extracted from thermal images for the 3-month summer season of each year. In order to validate the findings, regression analysis was performed between the Mediterranean Sea Ultra High Resolution SST L4 data and Landsat data for the 2008–2019 period. Regression constant R-squared values were found to be 0.9672 for June, 0.9550 for July, 0.9634 for August, and 0.9634 for all summer seasons. It was calculated that the minimum value of the average SST was 18.44 ± 2.87 °C in 1992, and the maximum value of the average SST was 23.45 ± 0.70 °C in 2018. According to the Landsat data, over the past 30 years, the annual average SST changes were estimated to be 0.11 °C, and the total changes of average SST were estimated to be 3.19 ± 1.26 °C. As a result of the analysis and the validation, we can see that there is a rising trend in sea surface temperature in the Aegean Sea. However, it is difficult to determine whether this upward trend is related to global climate change.

在这项研究中，使用Landsat热红外波段，分析了爱琴海夏季30年的海表温度（SST）变异性。从1989年到2019年，每年6月，7月和8月总共使用了88张Landsat 5、7和8幅红外红外卫星图像。为了根据热红外波段数据估算SST，热红外传感器在传感器光谱辐射下，并使用了红外热传感器的大气顶亮度温度。从每年夏季三个月的热图像中提取SST像素值。为了验证这些发现，我们在2008-2019年期间对地中海超高分辨率SST L4数据和Landsat数据之间进行了回归分析。回归常数R发现平方值分别为6月的0.9672、7月的0.9550、8月的0.9634和所有夏季的0.9634。据计算，1992年平均SST的最小值为18.44±2.87°C，而2018年平均SST的最大值为23.45±0.70°C。根据Landsat数据，在过去30年中，年平均SST变化估计为0.11°C，而平均SST的总变化估计为3.19±1.26°C。经过分析和验证，我们可以看到爱琴海的海面温度有上升的趋势。但是，很难确定这种上升趋势是否与全球气候变化有关。