Seabed 2030 aims at filling the gaps in the hydrographic grid. This data will allow us to detect more undersea features. Depending on the morphology that characterizes them, these features host marine species and interact with the ocean currents, temperatures and waters around them, in patterns known, or yet to be discovered. There are more than 40 types of undersea features, each with its own characteristics. Their detection has the potential to provide insight into new underwater ecosystems and inform new area based management. This project would concentrate on the detection of undersea features by exploring how AI technology can facilitate the detection of these features. Those with an interest in naming these, will qualify by explaining how they will engage local indigenous communities, and toponymical offices in the process of naming. The criteria for AI could inform a Product Specification for Undersea Features (under the “S100” umbrella from IHO).
Detection of Undersea Features is a project endorsed through the Ocean Decade Programme The Nippon Foundation-GEBCO Seabed 2030 Project.