Airtech4Water: The Airtech4Water was carried out in collaboration with SkyTEM and the Hydrogeophysics Group, Department of Geoscience, Aarhus University. We participated with research on new signal processing strategies for an all-digital TEM receiver system.

Duration: 2014-2018

Granted by: The Danish National Advanced Technology Foundation

Faster Surface NMR Groundwater Mapping with New Receiver Technology: In this project, we are developing a low noise surface NMR receiver system. Applicability in fieldwork is greatly enhanced by wireless communication between multiple receiver units.

Duration: 2016-2018

Granted by: The COWI Foundation

Abzu, game-changing surface NMR instrument for groundwater mapping: In the Abzu project, we are building a complete surface NMR system. A new transmitter, based on SkyTEM technology, has been constructed offering complete control over the NMR excitation pulses and pulse sequences.

Duration: 2016-2019

Granted by:  Aarhus University Research Foundation

MapField: In the MapField project, we are developing machine learning based tools for optimizing the signal to noise ratio of towed TEM and magnetometer data.

Duration: 2018-2021

Granted by: Innovation Fund Denmark

GIRem: In the GIRem project, we are developing machine learning based tools for optimizing the signal to noise ratio of cross-borehole direct current induced polarization data.

Duration: 2018-2022

Granted by: Innovation Fund Denmark

Flood and Drought: In this joint project with Department of Geoscience, we are researching new methodologies for surface NMR. The goals are vastly improved acquisition speed / signal-to-noise ratio and integration of surface NMR into hydrological models.

Duration: 2019-2023

Granted by: Independent Research Fund Denmark