Downscaling large-scale ocean models to coastal environments via nested fine-resolution models is a challenging task due to complexity of coastal processes often poorly resolved by models and observations. In this study we employ a low-fidelity remote sensing data (global Suspended Particular Matter, derived from EU Copernicus project) to constrain a fine-resolution sediment transport model (RECOM) nested into the larger-scale regional model (eReefs). Complementing this, high-fidelity ground measurements are incorporated to evaluate the efficacy of the resulting nested data-assimilating model within a shallow coastal setting. Numerical experiments demonstrate the beneficial impact of EU Copernicus data on coastal sediment transport model in Keppel Bay, Great Barrier Reef. The observed enhancement suggests the practical value of EU Copernicus Suspended Particular Matter data for coastal applications, thereby fostering the potential for upscaling similar investigations to continental and global scales.