Author(s): Maria Zoidou; Nikolaos Kokkos; Konstantinos Zachopoulos; Panagiota Keramea; Georgios Sylaios
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Abstract: Chlorophyll-a (Chl-a) is one of the main biological parameters measured to assess the ecological status in aquatic systems. Remote sensing has been an effective tool for the systematic monitoring of water quality, recording surface Chl-a levels and gaining knowledge on eutrophication dynamics. In Sentinel 2 image analysis, the SNAP software and the C2RCC processor are being widely used for Chl-a assessment. However, in the highly productive, turbid and shallow coastal lagoons this algorithm fails to produce valid results and recalibration is needed. In-situ Chl-a concentration data sampled from the Nestos coastal lagoons and the respective reflectance values for bands 4-7 were imported in a Takagi-Sugeno neuro-fuzzy model to improve Chl-a assessment. Based on these results, the spatio-temporal variability of Chl-a concentration for Eratino lagoon (Nestos lagoon complex) was assessed to determine the current ecological status from 2015 to 2021.
Year: 2022