Chlorophyll-a (Chl-a) is considered an important indicator for assessing many environmental issues. Monitoring Chl-a accurately through remote sensing technology is an efficient approach to observing water quality and providing early warnings of water eutrophication which overcomes the limitations in field campaigns as well as cost constraints. The Sentinel-2 Multi-Spectral Imager (S2-MSI) was used to analyse El-Burullus Lake, which is considered the second-largest natural lake in Egypt. The Case-2 Regional/Coast Colour (C2RCC) atmospheric correction processor was applied to retrieve different optically active water constituents such as Chl-a, the total suspended matter and coloured dissolved organic matter, as well as vegetation indicators. The spatial distribution marked the eutrophicated areas about 87.2 % of El-Burullus Lake area which result from the inflow from a large number of polluted agricultural drains. The results of the validation between the captured S2-MSI Chl-a and in situ measurements confirmed a clear underestimation in the level of the retrieved C2RCC parameters as on average of 65.1 % for the Chl-a values. The low R 2 values (below 0.1481) mean the bio-optical model better fits the variations in the in situ Chl-a content, as the F-test showed a significant level for all the parameters. All the results, which included low values for the mean bias error (MBE), root mean square error and normalized root mean square error; below 15.13, 28.05, and 1.005 values, respectively, demonstrated that the empirical model exhibits a good performance with the bio-