Central to the research work is their expertise in remote sensing and modeling of processes in the sea, and in the development of visualization and analysis tools, including machine learning.

When wanting to explore various processes in the sea such as changes in sea level, ocean currents and temperature changes, it is important to use different types of data as a basis. Various data, typically from satellites and instruments in the sea, are combined to study and monitor sea and coastal areas. In addition, ocean and sea-ice models are used to fill in areas not covered by observations. Together, this strengthens analyzes and interpretations of the underlying mechanisms that are observed.

The group is also involved in the development of future observation systems, and in developing better methods for analyzing and interpreting satellite data, where geophysical variables such as wind, waves and currents are taken into account. Completely new techniques are being developed to be able to retrieve all relevant information for monitoring e.g., sea surface currents, algae growth, and sea-ice drift, as well as when classifying sea-ice types.