EO4Hazards builds on the DHI led NANOK project by extending satellite based coastal mapping towards a more comprehensive coastal hazard intelligence framework.

The project integrates multiple Earth observation data sources, including Sentinel 2 optical imagery, ICESat 2 altimetry, and sea surface height measurements from the SWOT mission, combined with machine learning models tailored to Arctic coastal environments.

A central innovation of EO4Hazards is the reconstruction of spatially varying tidal conditions using SWOT data, closing a long standing information gap in narrow fjords and near shore waters where conventional satellite altimetry and tide gauges are unavailable. These tidal estimates are used to correct and contextualise shallow water bathymetry products, enabling more robust identification of hazardous zones relevant for navigation.

The project focuses on selected areas along Greenland’s west coast, including fjords and coastal approaches where traditional hydrographic surveys are sparse or non existent. All workflows are designed for scalability, enabling rapid large area mapping that would be impractical using vessel based surveys alone.

EO4Hazards places strong emphasis on operational relevance. The generated products are tested and evaluated in collaboration with maritime authorities and operators, ensuring that outputs are fit for real world use and can be delivered in formats compatible with existing navigation and planning systems.