Sweden Arterial Road Surface and Passability Data (2020-2024)

HeiGIT produced this dataset covering 45,600 km of arterial roads in Sweden using 2020 and 2024 PlanetScope satellite imagery. It combines OpenStreetMap geometry with AI-derived attributes for road surface, width, and logistical passability to fill data gaps in national infrastructure maps.

Use Cases

• Assessing heavy vehicle accessibility using the Road Width Class and Humanitarian Passability Index (HPI)
• Monitoring infrastructure development by identifying transitions in the Road Surface Change attribute
• Enriching OpenStreetMap data by populating missing surface tags based on DL Surface Prediction

Strengths

• 89.2% surface prediction accuracy compared to 64.7% for standard OSM tags
• Covers 45,600 km of the Swedish arterial road network
• Provides surface data for 84.7% of segments previously missing surface tags in OSM

Limitations

• Restricted to arterial roads only
• Road width is provided in three discrete classes rather than continuous meter measurements
• AI predictions may be affected by environmental factors like heavy tree canopy

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap road geometries

Time Range

2020-2024

Freshness

Includes satellite-derived observations from 2020 and 2024; last updated March 2026.

Geography

Sweden