THE EXAMINING IN THE SEA SURFACE TEMPERATURES (SST) OF AKYATAN LAGOON (ADANA) INTEGRATING NOAA AVHRR, LANDSAT AND MODIS DATAS (2001-2015)

Journal Title: The Journal of International Social Research - Year 2018, Vol 11, Issue 55

Abstract

Sea Surface Temperatures (SST) can provide significant data about the climate of a certain place. Sea surface temperatures can vary at short distances with the effect of air masses. Variations in the climate can be well understood by examining the SST data. In this context, the SST values are considered as an important parameter in global climate modelling. The reactions of the oceans and seas to the global climate change can be understood by examining the SST values. Studies show that the water surface of the world's oceans has been increasing with the global climate change. In this study MODIS, Landsat and NOAA AVHRR platform is used. 8-day data for the summer months of the years 2001- 2015 were obtained. Finally, after various image processing techniques applied to this data, the ST maps have been obtained. At the same time, statistical methods were used to determine the relationship between SST values and air temperatures. The Akyatan Lagoon located on the southern coast of Turkey, which is expected to be significantly affected by global climate change, has been selected as the investigation field. In this study, the average air temperatures and sea surface temperature of the summer season were investigated. Akyatan Lagoon reaches the highest temperatures during the year in August. The results of the study show that there is a statistically significant relationship between air temperatures and SST values in the Akyatan Lagoon. In particular, a strong relationship was found between air temperatures and SST values for the months of July and August.

Authors and Affiliations

Mehmet Ali ÇELIK

Keywords

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  • EP ID EP438757
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How To Cite

Mehmet Ali ÇELIK (2018). THE EXAMINING IN THE SEA SURFACE TEMPERATURES (SST) OF AKYATAN LAGOON (ADANA) INTEGRATING NOAA AVHRR, LANDSAT AND MODIS DATAS (2001-2015). The Journal of International Social Research, 11(55), -. https://europub.co.uk/articles/-A-438757