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

Wigh, Mark David (PhD Student)
Andreasen, Arne Døssing (Main Supervisor)
Hansen, Thomas Mejer (Supervisor)
Olsen, Nils (Supervisor)

Status	Finished
Effective start/end date	01/08/2019 → 31/07/2022

2 Conference presentations

Unexploded ordnance detection for offshore construction - A case study from Denmark
Mick Emil Kolster (Speaker) & Mark David Wigh (Speaker)
15 Jun 2021
Activity: Talks and presentations › Conference presentations
Detection and inversion of UXO and non-UXO sources, exemplified with UAV-borne dual-magnetometer system data from an intertidal flat
Mick Emil Kolster (Speaker) & Mark David Wigh (Speaker)
26 Aug 2021
Activity: Talks and presentations › Conference presentations