Road Surface Classification for Luxembourg from OpenStreetMap and AI

A dataset providing detailed road surface classification for Luxembourg, distinguishing paved and unpaved roads. It contains approximately 21.9 km of roads mapped in OpenStreetMap, with AI-derived estimates classifying 48.1% as paved and 20.2% as unpaved. The data is produced by HeiGIT (Heidelberg Institute for Geoinformation Technology) and was last updated in March 2026.

Use Cases

• Transportation planning based on road surface type and length data.
• Infrastructure analysis based on attributes like highway type, surface, and width.
• Climate emissions assessment based on paved vs. unpaved road classifications.
• GIS applications for urban and rural road network mapping based on urban classification attributes.

Strengths

• Includes AI-derived surface classifications for approximately 21.9 km of roads.
• Provides multiple classification schemes, including OSM-prioritized and DL-prioritized combined surfaces.
• Augments OSM data with deep learning predictions from Mapillary imagery and urban layers.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

OpenStreetMap (OSM), augmented with deep learning predictions from Mapillary imagery and urban layers from GHSU and AFRICAPOLIS.

Collection Method

Surface classification derived using a hybrid deep learning approach.

Time Range

Mean timestamp of predictions is included (DL_mean_timestamp), but specific temporal coverage is not stated.

Freshness

Last updated 2026-03-02 17:15:50.596895; freshness should be verified.

Geography

Luxembourg.