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Dr. rer. nat. Christoph Tholen

Organizational unit Marine Perception
Contact +49 441 99833 4721 (Oldenburg)

Address (Oldenburg) Technologie- und Gründerzentrum OldenburgMarie-Curie-Str. 126129 Oldenburg

Publications

All publications

  1. Multi-Resolution Remote Sensing Dataset for the Detection of Anthropogenic Litter: A Multi-Platform and Multi-Sensor Approach

    Robert Rettig; Felix Becker; Alexander Berghoff; Tobias Binkele; Wolfram Michael Butter; Tilman Floehr; Martin Krumm; Carolin Leluschko; Florian Littau; Elmar Reinders; Eike Rodenbäck; Tobias Schmid; Sabine Schründer; Sören Schweigert; Michael Sinhuber; Jens Wellhausen; Frederic Theodor Stahl; Christoph Tholen

    In: Data (Data), Vol. 10, No. 7, Pages 1-10, MDPI, Basel, 7/2025.

  2. On The Optimisation Of Machine Learning Models For Predicting The Photosynthetically Available Radiation In The Water Column

    Frederic Theodor Stahl; Lars Nolle; Martin Maximilian Kumm; Christoph Tholen

    In: Marco Scarpa; Salvatore Cavalieri; Salvatore Serrano; Fabrizio De Vita (Hrsg.). Proceedings of the 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), June 24-27, Catania, Italy, Pages 531-537, Communications of the ECMS, Vol. 39, No. 1, ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

  3. ON THE LOCATION-INDEPENDENT RECONSTRUCTION OF PHOTOSYNTHETICALLY ACTIVE RADIATION IN THE WATER COLUMN USING NEURAL NETWORKS

    Martin Maximilian Kumm; Christoph Tholen; Lars Nolle; Frederic Theodor Stahl

    In: 39th ECMS International Conference on Modelling and Simulation ECMS 2025. International Conference on Modelling and Simulation (ECMS-2025), 39th ECMS International Conference on Modelling and Simulation ECMS 2025, June 24-27, Catania, Italy, Pages 538-544, Vol. 39, No. 1, ISBN ISBN 978-3-937 436-86-9, ECMS, United Kingdom, 6/2025.

Profile

  • XAI4SFAS

    Intelligentes Assistenzsystem für die teilautonome Schiffsführung

    Partners

    marinom GmbH

    Jade Hochschule Wilhelmshaven/Oldenburg/Elsfleth

     

  • iMagine

    Imaging data and services for aquatic science

    Aquatic research often relies on image and video data to gain knowledge about our oceans, lakes and rivers. Current challenges in this research area include analyzing human-caused littering or oil…

    iMagine

  • APLASTIC-Q-Canada

    Machine Learning identification of pollutants and other debris in Canadian Waterways

    The project deals with the further development of AI methods for the detection and analysis of litter in rivers and canals. Stationary camera systems are used, which enable long-term monitoring of the…

    APLASTIC-Q-Canada

  • 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 problem of plastic litter pollution on a global scale…

    PlasticObs_plus

  • 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 severe threat to the marine environment and coastal…

    MATE