A probabilistic and machine-learning geophysical approach for characterizing potiental Unexploded Ordnance: A magnetometry based study in relation tooffshore wind farms in the North Sea

  • Wigh, Mark David (PhD Student)
  • Mosegaard, Klaus (Examiner)
  • Rasmussen, Thorkild Maack (Examiner)
  • Andreasen, Arne Døssing (Main Supervisor)
  • Olsen, Nils (Supervisor)
  • Hansen, Thomas Mejer (Supervisor)

Project Details

StatusFinished
Effective start/end date01/08/201902/11/2022

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 14 - Life Below Water

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