Spatio-Temporal Study of Phytoplankton Groups from Inherent Optical Properties (Iops) in The Ivorian Marine Coastline from 2010 To 2020

Abstract

Today global warming affects all environments including coastal marine environments. Climate change also affects the development and proliferation of phytoplankton groups often leading to the massive production of phytoplankton groups in marine waters. It is with this in mind that the study on the determination of phytoplankton groups from optical properties in Ivorian marine waters was initiated. This study showed a great diversity of phytoplankton in the Ivorian marine domain during the years 2010 and 2020. The data used in these studies are geospatial data (remote sensing) of the optical properties of the oceans, in particular the IOPs (inherent optical properties). These are the fusion data from the various SeaWiFS, MODIS, MERIS, VIIRS sensors from 2010 to 2020 from the various OrbView 2, NOAA, ENVISAT and AQUA satellites, in particular the absorption coefficient data for dissolved and detrital matter at 443 nm (adg ), phytoplankton absorption coefficient data at 443 nm (aph), and dissolved and detrital particulate backscatter coefficient data at 443 nm (bbp).For the processing of these data the pixel-oriented classification method was used for the identification of phytoplankton groups. The SeaDAS v 7.4 software, allowed to process and analyze the data and the Envi 5.3 software allowed to perform the data classification. The values ​​of inherent optical properties (IOPs) were obtained as well as the spatial distribution of phytoplankton groups, thus allowing the production of maps of IOPs and the production of spatio-temporal distribution maps of cyanobacteria and diatoms