Tajikistan Road Surface and Passability for 5,900 km of Arterial Roads

A source of AI-derived road surface, width, and passability metrics for approximately 5,900 km of arterial roads in Tajikistan, produced by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It covers motorway, trunk, primary, and secondary road classes, filling data gaps where OpenStreetMap (OSM) surface tags are missing for 43.6% of the network.

Use Cases

• Assessing logistical accessibility for aid delivery using the Humanitarian Passability Index (HPI) scores
• Monitoring national infrastructure development by analyzing the Road Surface Change indicator for transitions from unpaved to paved
• Identifying vehicle size constraints for transport planning based on the Road Width Class categories

Strengths

• High classification accuracy of 89.2% for road surface types
• Provides surface data for 2,600 km of roads that lack tags in OpenStreetMap
• Includes temporal change detection for infrastructure development between 2020 and 2024

Limitations

• Restricted to arterial road networks only
• Humanitarian Passability Index is a derived model and may not reflect real-time seasonal blockages
• AI predictions may have reduced accuracy in areas with dense vegetation overhanging the road

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

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

Time Range

2020-2024

Freshness

Last updated March 2026; contains temporal comparisons between 2020 and 2024 imagery.

Geography

Tajikistan