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Approximately 0.2232 million kilometers of roads in Denmark are mapped, with AI-derived estimates classifying 0.1015 million km as paved and 0.0388 million km as unpaved. The dataset, created by the Heidelberg Institute for Geoinformation Technology (HeiGIT), combines OpenStreetMap data with deep learning predictions from Mapillary imagery and urban classification layers. It was last updated on March 2, 2026.
License is ODbL-1.0, which requires attribution and share-alike for derivative databases. Data is provided in GEOJSON and GEOPACKAGE formats.