Poland Arterial Road Surface and Passability Data for 61,400 km

Poland arterial road network data covering 61,400 km with AI-derived surface and width attributes produced by HeiGIT. The dataset integrates PlanetScope satellite imagery from 2020 and 2024 to assess infrastructure changes and logistical accessibility.

Use Cases

• Logistics routing using the Humanitarian Passability Index (HPI) to identify segments with high blockage risk
• Infrastructure development tracking by monitoring Road Surface Change (2020-2024) for unpaved-to-paved transitions
• Fleet management using Road Width Class to filter segments suitable for two-lane heavy truck flow (>5.5 m)

Strengths

• 89.2% surface model accuracy
• 61,400 km of road coverage
• Multi-temporal analysis comparing 2020 and 2024 imagery

Limitations

• Restricted to arterial road classes, excluding tertiary and local residential roads
• AI-derived predictions have a 10.8% error margin compared to ground truth

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

Deep learning analysis of PlanetScope satellite imagery integrated with OpenStreetMap vector data.

Time Range

2020-2024

Freshness

Last updated March 2026; imagery comparison spans 2020 to 2024.

Geography

Poland