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

This dataset maps approximately 26,200 km of arterial roads in Belarus, providing AI-derived surface types, widths, and passability scores generated by HeiGIT. It utilizes PlanetScope satellite imagery from 2020 and 2024 to identify road surface changes and logistical accessibility for humanitarian planning.

Use Cases

• Evaluating logistical constraints for heavy transport using Road Width Class and Humanitarian Passability Index (HPI)
• Identifying infrastructure improvements by filtering for Road Surface Change from unpaved to paved
• Supplementing missing OpenStreetMap surface tag data with DL Surface Prediction values

Strengths

• 89.2% surface prediction accuracy
• Covers 26,200 km of arterial road network
• Multi-temporal analysis comparing 2020 and 2024 imagery

Limitations

• Excludes local and residential road networks
• AI-derived predictions have a documented 10.8% error rate

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Time Range

2020-2024

Freshness

Last updated March 2026; imagery comparison covers the period from 2020 to 2024.

Geography

Belarus