Romania Road Network: AI-Derived Surface and Passability for 50,000 km

Romania road network data covering ~50,000 km of arterial roads, produced by HeiGIT using AI analysis of PlanetScope satellite imagery from 2020 and 2024. It provides high-resolution predictions for road surface, width, and logistical passability to fill gaps in OpenStreetMap (OSM) data.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to assess route accessibility
• Infrastructure monitoring by tracking Road Surface Change from 2020 to 2024
• Vehicle suitability analysis using Road Width Class to identify segments restricted to light vehicles

Strengths

• 89.2% surface prediction accuracy
• Covers 50,000 km of arterial roads
• Multi-temporal data (2020 and 2024) for change detection

Limitations

• Limited to arterial road classes
• AI-derived predictions may have errors compared to ground truth

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap (OSM) attributes

Time Range

2020-2024

Freshness

Last updated March 2026; contains imagery-derived data from 2020 and 2024.

Geography

Romania