Cityweft’s Denmark building dataset combines high-quality building footprint sources with national high-resolution LiDAR elevation data to deliver a highly accurate and consistent LOD1 3D building layer for professional design and planning workflows.

Building footprints are derived from OpenStreetMap and Microsoft machine-learning building footprints. These are unified and refined by Cityweft before being paired with nationwide 1 m LiDAR data from Klimadatastyrelsen.

Data sources

• Building footprints: OpenStreetMap, Microsoft ML Building Footprints
• Height data: Klimadatastyrelsen LiDAR (1 m resolution)

Latest update

• The dataset reflects the latest available inputs as of 2025, based on Klimadatastyrelsen’s most recent national LiDAR releases.

Coverage and reliability

• Nationwide building coverage across Denmark
• Very high height accuracy, derived directly from measured 1 m LiDAR elevation data
• Fine spatial resolution enables precise capture of roof forms and maximum building heights
• In rare edge cases, heights may be influenced by temporary or interfering objects (such as trees, cranes, or construction equipment), but such cases are uncommon

Cityweft processing approach

The Danish dataset is produced using Cityweft’s advanced and scalable processing pipeline:

• Building footprints from multiple sources are merged, cleaned, and standardized
• Any attributed or estimated heights are fully overridden using LiDAR measurements