Bosnia and Herzegovina: Road Surface and Passability for 9,100 km of Roads

A source of AI-derived road surface, width, and passability metrics for approximately 9,100 km of arterial roads in Bosnia and Herzegovina. Created by HeiGIT, it integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap attributes to fill infrastructure data gaps.

Use Cases

• Monitoring infrastructure modernization by tracking 'Road Surface Change' from 2020 to 2024
• Assessing logistical constraints for heavy transport using 'Road Width Class' thresholds
• Prioritizing humanitarian aid routes based on the 'Humanitarian Passability Index (HPI)'

Strengths

• 89.2% accuracy for AI-derived surface models
• Fills surface data for 97.2% of segments missing OSM tags
• Multi-temporal coverage (2020 and 2024) for infrastructure change detection

Limitations

• Geographic scope limited to Bosnia and Herzegovina
• Excludes non-arterial road networks
• AI-derived predictions may have localized errors compared to ground-truth surveys

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery combined with OpenStreetMap road network data.

Time Range

2020-2024

Freshness

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

Geography

Bosnia and Herzegovina