Mesoscale Ocean Feature Identification in the North Aegean Sea with the Use of Sentinel-3 Data

Spondylidis, Spyros; Topouzelis, Konstantinos; Kavroudakis, Dimitris; Vaitis, Michail

doi:10.3390/jmse8100740

Cited by 4 publications

(1 citation statement)

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“…In this paper, the methodology for ocean front extraction follows a modified gradient-based approach (Spondylidis et al, 2020). The gradient is calculated for CHL and SST with the scope to identify and map ocean color and thermal surface fronts, respectively.…”

Section: Pre-processingmentioning

confidence: 99%

Can we actually monitor the spatial distribution of small pelagic fish based on Sentinel-3 data? An example from the North Aegean Sea (Eastern Mediterranean Sea)

et al. 2023

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Fish population spatial distribution data provide essential information for fleet monitoring and fishery spatial planning. Modern high resolution ocean color remote sensing sensors with daily temporal coverage can enable consistent monitoring of highly productive areas, giving insight in seasonal and yearly variations. Here is presented the methodology to monitor small pelagic fish spatial distribution by means of 500m resolution satellite data in a geographically and oceanographically complex area. Specifically, anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) acoustic biomass data are modeled against environmental proxies obtained from the Sentinel-3 satellite mission. Three modeling techniques (Logistic Regression, Generalized Additive Models, Random Forest) were applied and validated against the in-situ measurements. The accuracy of anchovy presence detection peaked at 76% and for sardine at 78%. Additionally, the spatial distribution of the models’ output highlighted known fishing grounds. For anchovy, biomass modeling highlighted the importance of bathymetry, SST, and the distance from thermal fronts, whereas for sardine, bathymetry, CHL and chlorophyll fronts. The models are applied to a sample dataset to showcase a potential outcome of the proposed methodology and its spatial characteristics. Finally, the results are discussed and compared to other habitat studies and findings in the area.

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Section: Pre-processingmentioning

confidence: 99%

Can we actually monitor the spatial distribution of small pelagic fish based on Sentinel-3 data? An example from the North Aegean Sea (Eastern Mediterranean Sea)

et al. 2023

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Impacts of three severe storms on Aegean Sea oceanography (2018–2020)

Babagolimatikolaei

2024

Nat Hazards

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This study presents a comprehensive analysis of the impacts of severe storms on the oceanography of the Aegean Sea, with specific focus on storms occurring on 15 November 2018, 14 September 2019, and 7 January 2020. Notable changes in oceanographic variables are observed on the storm day and in the subsequent days, gradually returning to pre-storm conditions. During storms, Aegean Sea surface temperatures were 2–3 °C below average, with cooling particularly evident along the west coast and northern part. Salinity increases of 0.5–1 PSU are observed during storms, with the most significant effects noted on 7 January. Storms consistently led to a decrease in sea level in our study area, with the western coast and north Aegean Sea experiencing levels 6–10 cm lower than the monthly average. Surface currents along the west coast and within latitudes 36–40° are 0.3 to 0.4 m/s stronger than average during storms. Storm-induced changes in the Thracian Sea’s anticyclonic gyre on 5 January reveal a speed increase of 0.3–0.4 m/s. Notably, both temperature and salinity fluxes exhibit significant changes during storms, characterized by a shift from east-to-west transport, contrasting with the west-to-east pattern observed before the storms. This shift is mainly influenced by Ekman transport, which predominantly directs water westward and north-westward when the wind comes from the northeast to southwest. Storms contribute to heightened salinity, increased kinetic energy, and enhanced transport, accompanied by a decrease in temperature, with the most pronounced effects near the surface along vertical layers.

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