Regional features of seasonal variability of phytoplankton in the Black Sea studied by remote sensing data.

Anastasia S. Vostokova; Sergey V. Vostokov; Inna V. Saling

doi:10.1117/12.2645216

7 December 2022 Regional features of seasonal variability of phytoplankton in the Black Sea studied by remote sensing data.

Anastasia S. Vostokova, Sergey V. Vostokov, Inna V. Saling

Author Affiliations +

Proceedings Volume 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics; 1234150 (2022) https://doi.org/10.1117/12.2645216
Event: 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 2022, Tomsk, Russia

Abstract

Regional features of seasonal variability of phytoplankton in the Black Sea have been studied by use of the MODIS data. Verification of satellite data was carried out using an array of contact measurements of chlorophyll in different seasons of the year. Maps of the average monthly values of chlorophyll and PIC (particulate inorganic carbon) over a twenty-year period and diagrams of their seasonal variability were constructed for local waters of the Black Sea. At least four types of seasonal variability have been identified, which are determined by a combination of climatic, local hydrological and anthropogenic factors.

Citation Download Citation

Anastasia S. Vostokova, Sergey V. Vostokov, and Inna V. Saling "Regional features of seasonal variability of phytoplankton in the Black Sea studied by remote sensing data.", Proc. SPIE 12341, 28th International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics, 1234150 (7 December 2022); https://doi.org/10.1117/12.2645216

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