Few satellite missions previously allowed for the synergetic use of coincident satellite information from multiple sensors. Since 2014, the sequential launch of Sentinel-1 (2014), Sentinel-2 (2015) and Sentinel-3 (2016) have once again allowed the enhanced monitoring of coastal environments from coincident thermal, optical and SAR satellite observations, producing in one year the equivalent of 100 years of Envisat data, the 10-year European Space Agency’s satellite mission (2002-2012). In this presentation, we will showcase the multiple benefits of using ESA’s Sentinel-1/-2/-3 satellite constellation for the identification of possible oil discharges from passing ships and the complexity of differentiating oil features from “look-alikes” caused by algal features or submerged reefs for instance, which have very similar radiometric signatures and shapes. A recently developed semi-automated oil-like features detection system, which incorporates the use of machine learning and empirical techniques, as well as SAR and optical satellite imagery from the Sentinels, will be presented. The primary region of interest will be the Great Barrier Reef marine park, and we will demonstrate the integration of this detection system into the eReefs information platform. Other possible applications of satellite sensors’ synergy will also be presented, such as for instance river runoff extent monitoring, for future opportunities.