Determination of Mucilage in The Sea of Marmara Using Remote Sensing Techniques with Google Earth Engine

Authors : Uğur ACAR, Osman Salih YILMAZ, Meltem ÇELEN, Ali Murat ATEŞ, Fatih GÜLGEN, Füsun BALIK ŞANLI

Pages : 423-434

Doi:10.30897/ijegeo.957284

View : 13 | Download : 6

Publication Date : 2021-12-15

Article Type : Research Paper

Abstract :In this study, a methodology has been developed for the detection of mucilage with the help of remote sensing insert ignore into journalissuearticles values(UA); techniques by considering the current mucilage formation in the Sea of Marmara. For this purpose, mucilage formation from10.03.2021 to 06.06.2021 was determined by classification of Sentinel-2 insert ignore into journalissuearticles values(MSI); satellite images using Random Forest insert ignore into journalissuearticles values(RF); algorithm on Google Earth Engine insert ignore into journalissuearticles values(GEE); platform. Normalized Difference Vegetation Index insert ignore into journalissuearticles values(NDVI);, Normalized Difference Water Index insert ignore into journalissuearticles values(NDWI);, the Modified Normalized Difference Water Index insert ignore into journalissuearticles values(MNDWI); and the Automated Water Extraction Index insert ignore into journalissuearticles values(AWEI); indexes were used for classification. In the classification study, 5 different date ranges were determined by considering the availability of satellite images and cloud ratio. In the first date range insert ignore into journalissuearticles values(10.03.2021-30.03.2021);, the first mucilage image was detected in the Dardanelles Strait. In the following dates, the spread of mucilage towards the Gulf of Izmit and the Gulf of Gemlik in addition to the Dardanelles was determined. Finally, in the images dated between 17.05.2021-06.06.2021, it was seen that the density of mucilage increased in the Dardanelles Strait, Izmit Gulf, Gemlik Gulf, Erdek Kapıdağ Peninsula and the north of the Marmara Island. The area covered by mucilage as of the last date range was calculated as 12,741.94 ha, and this value shows that 1.07% of the Sea of Marmara is covered with mucilage. With this developed methodology, it has been seen that mucilage formation can be detected quickly within minutes and with high accuracy from satellite images anywhere in the world.
Keywords : Marmara Sea, Mucilage, Google Earth Engine, Remote Sensing