Projects

APLASTIC-Q Arktis – Strandmüllmonitoring arktischer Küsten mittels fernerkundlicher Methoden und automatisierter Datenauswertung durch künstliche Intelligenz

Beach litter is increasingly considered an important indicator of ocean pollution in international agreements. In the past, numerous methods have been …

XAI4SFAS – Intelligentes Assistenzsystem für die teilautonome Schiffsführung

Partners marinom GmbH Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

ZLW – Zukunftslabor Wassermanagement

Partners Beteiligte wissenschaftliche Einrichtungen: − Carl von Ossietzky Universität Oldenburg (UOL) − Leibniz Universität Hannover (LUH) − …

PlasticObs_plus – Verbund - KI: PlasticObs_plus - Maschinelles Lernen auf Multisensordaten der flugzeuggestützten Fernerkundung zur Bekämpfung von Plastikmüll in Meeren und Flüssen

Airborne monitoring for plastic litter detection represents a modern, universal observation method to address the urgent and rapidly increasing …

NorthSat-X – The North Sea from space: Using explainable artificial intelligence to improve satellite observations of climate change

Partners Carl von Ossietzky Universität Oldenburg

Saimidris – Sailing Intelligent Micro Drifter Swarms

Partners Carl von Ossietzky Universität Oldenburg

NAUTILOS – NEW APPROACH TO UNDERWATER TECHNOLOGIES FOR INNOVATIVE, LOW-COST OCEAN OBSERVATION

The deep ocean, below 200 m water depth, and the open ocean environment above it, are largest habitats but least observed ones of our planet. These …

MATE – Maritime Traffic Emissions: A monitoring network

Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traﬃc are a …