Understanding the variability of Chlorophyll (Chl) concentration through aquatic remote sensing over the coastal waters are very difficult through spatial low resolution sensor images. The Sentinel-2A/B from European Space Agency is specifically designed with spatially high resolution satellite images (30/10m) which can be easily adaptable for monitoring the variability of Chl over the coastal waters. In this study, satellite derived dataset from high resolution satellite images of sentinel-2A/B were used to understand the spatio-temporal patterns of Chl in the Gulf of Manner. The standard Chl model based on the OC algorithm were used to estimate the Chl from remote sensing reflectance (Rrs).The study area is located in Gulf of Mannar, India where the coastal waters are dominated with the Chlorophyll which are to be monitored using the Sentinel-2A/B images. Results obtained from the images able to track the Chl variability in coastal waters. The spatio-temporal patterns observed from the Sentinel-2A/B images can be effectively useful for understanding the changes of Chl over the Coastal waters.