 This study evaluated the potential of Sentinel-3 and minus-2 satellite data for monitoring algal blooms in Lake Erie, Canada. The results showed that maximum chlorophyll index, MCI, from Sentinel-3 has the potential to be used effectively for CHLA concentration over eutrophic lakes, while Sentinel-2's MCI is suggested for CHLA greater than 20 milligrams per cubic meter and Sentinel-2's MCI for cloud greater than 8 milligrams per cubic meter. The study also found that top of atmosphere, TOA radiances showed a better correlation with in situ data compared to TOA reflectance which may be related to the poor pixel identification during the process of pixel flagging affected by the complexity of case-2 water. Sentinel-2's MCI achieved better performance for CHLA retrieval R2 equals 0.92, than existing methods, while FLH algorithms outperformed negative reflectance due to the shift of reflectance peak to longer wavelengths along with increasing CHLA values. This article was authored by Sate Purasta, Somaith Mali, Saira Nargis Fathalahi and others. We are article.tv, links in the description below.