The related staffs: Sevil Deniz YAKAN DÜNDAR (PhD.), Meysam BALANESHİN KORDAN (MSc.), Jalil GHAVİDEL NEYCHARAN (PhD.)

Within the scope of the project, chlorophyll, sea surface temperature and sea ice data belonging to the South Polar Region will be investigated and primary production levels will be determined in the light of these data and future estimates will be made depending on climate change. In summary, it is aimed to obtain and compile satellite data belonging to the South Polar Region using the available field data and remote sensing techniques available in databases, to classify the data according to regions and their quality and to apply various artificial intelligence methods to the final data obtained. The data to be investigated were determined as chlorophyll, sea water temperature and sea ice, which are important parameters of the marine environment. The chlorophyll parameter is an important indicator of phytoplankton biomass and therefore primary production. Sea water temperature and sea ice also directly affect primary production amounts as a visible effect of climate change. In the light of these data, it is planned to make modeling and estimates about primary production amounts and trend trends in the marine environment. In the evaluation of the data, data-driven deep learning models (such as ANN, CNN, RNN, CNN+RNN, LSTM and ConvLSTM) will be used and performance comparisons will be made by applying the methods to the same data sets.