期刊名称：International Journal of Environment and Geoinformatics
电子版ISSN：2148-9173
出版年度：2021
卷号：8
期号：4
页码：423-434
语种：English
出版社：IJEGEO
摘要：In this study, a methodology has been developed for the detection of mucilage with the help of remote sensing (UA) techniques byconsidering the current mucilage formation in the Sea of Marmara. For this purpose, mucilage formation from10.03.2021 to06.06.2021 was determined by classification of Sentinel-2 (MSI) satellite images using Random Forest (RF) algorithm on GoogleEarth Engine (GEE) platform. Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), theModified Normalized Difference Water Index (MNDWI) and the Automated Water Extraction Index (AWEI) indexes were used forclassification. In the classification study, 5 different date ranges were determined by considering the availability of satellite imagesand cloud ratio. In the first date range (10.03.2021-30.03.2021), the first mucilage image was detected in the Dardanelles Strait. Inthe following dates, the spread of mucilage towards the Gulf of Izmit and the Gulf of Gemlik in addition to the Dardanelles wasdetermined. Finally, in the images dated between 17.05.2021-06.06.2021, it was seen that the density of mucilage increased in theDardanelles Strait, Izmit Gulf, Gemlik Gulf, Erdek Kapıdağ Peninsula and the north of the Marmara Island. The area covered bymucilage 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 coveredwith mucilage. With this developed methodology, it has been seen that mucilage formation can be detected quickly within minutesand with high accuracy from satellite images anywhere in the world.
