Evaluation of remote sensing and modeled chlorophyll-α products of the Baltic Sea

The Baltic Sea is an optically very complex study object for watercolor remote sensing because of the high quantity of colored dissolved organic matter, two optically distinct phytoplankton seasons, high variability in concentrations of optically active substances, and low sun angles. Despite this, there are numerous remote sensing and modeled chlorophyll-alpha (Chl-alpha) products publicly available for the Baltic Sea. Sixteen openly accessible Chl-a products were tested with 267 in situ Chl-a measurements that were carried out in Estonian marine waters during 2016 to 2021. All modeled products and about half of the remote sensing products failed to produce reliable results. The best-performing remote sensing Chl-alpha product was Case(2)/ Regional CoastColour produced from Sentinel-3 ocean and land color imager (OLCI) reflectance with R-2 = 0.55, root mean squared error oRMSETHORN = 4.5 mgm(-3), mean absolute percentage error (MAPE) = 74%. In addition, eight different band ratio algorithms were applied on Sentinel(-3) OLCI and Sentinel(-2) multispectral instrument data. The best remote sensing band ratio algorithm was derived from top-of-atmosphere reflectance of Sentinel(-3) data using 665, 709, and 754 nm bands (R-2 = 0.67, RMSE = 3.9 mgm(-3), and MAPE = 63%). Our results show good suitability of Sentinel-3 for Chl-a retrieval. However, the high uncertainties suggest for the further product development and validation needs. (c) The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Automated summary

The Baltic Sea is a complex study object for watercolor remote sensing, and most remote sensing products fail to produce reliable results. Among the tested products, the best performing remote sensing Chl-alpha product is Case(2)/ Regional CoastColour produced from Sentinel-3 OLCI reflectance.