Uzbekistan Arterial Road Surface and Passability Data (2020–2024)

HeiGIT produced this dataset covering 20,500 km of arterial roads in Uzbekistan using AI analysis of PlanetScope satellite imagery from 2020 and 2024. It provides high-resolution predictions for road surface, width, and humanitarian passability for segments classified as motorway, trunk, primary, and secondary in OpenStreetMap.

Use Cases

• Evaluating logistical constraints for disaster relief using the Humanitarian Passability Index (HPI) scores
• Identifying national infrastructure improvements via the Road Surface Change indicator between 2020 and 2024
• Modeling transport capacity and heavy vehicle access based on Road Width Class thresholds

Strengths

• 89.2% surface model accuracy compared to 64.7% for standard OSM tags
• Covers 20,500 km of arterial roads
• Multi-temporal surface data allowing for 2020-2024 change detection
• Standardized Humanitarian Passability Index (HPI) for logistical modeling

Limitations

• Geographic scope is limited to arterial road classes, excluding local or residential streets
• AI-derived predictions may contain errors in areas with high cloud cover or complex terrain
• Surface change detection is limited to the 2020-2024 window

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

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

Time Range

2020-2024

Freshness

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

Geography

Uzbekistan