Norway Road Surface and Passability Data for 57,000 km of Arterial Roads

HeiGIT produced this dataset covering 57,100 km of arterial roads in Norway using PlanetScope satellite imagery from 2020 and 2024. It features AI-derived attributes for road surface, width, and a Humanitarian Passability Index (HPI) for segments classified as motorway, trunk, primary, and secondary roads.

Use Cases

• Monitoring infrastructure upgrades by tracking 'Road Surface Change' from 2020 to 2024
• Assessing vehicle accessibility for emergency response using the 'Humanitarian Passability Index (HPI)'
• Identifying bottlenecks for heavy transport using 'Road Width Class' to find segments narrower than 3.5 meters

Strengths

• 89.2% accuracy for AI-derived surface predictions
• Multi-temporal coverage for 2020 and 2024
• Standardized width classification for heavy vehicle logistics

Limitations

• Excludes tertiary, residential, and local road networks
• AI-derived predictions may have errors in areas with high cloud cover or extreme terrain
• Temporal gap is limited to the 2020-2024 window

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

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

Time Range

2020-2024

Freshness

Last updated March 2026; utilizes satellite imagery from 2020 and 2024.

Geography

Norway