Turkmenistan Road Surface and Passability Data for 9,200 km of Arterial Roads

9,200 km of arterial roads in Turkmenistan with AI-derived surface, width, and passability metrics produced by HeiGIT. The data utilizes PlanetScope satellite imagery from 2020 and 2024 to supplement OpenStreetMap (OSM) attributes for motorway, trunk, primary, and secondary road classes.

Use Cases

• Monitoring infrastructure growth by tracking 'Road Surface Change' from 2020 to 2024
• Route optimization for heavy logistics using 'Road Width Class' to ensure unimpeded flow for heavy trucks
• Humanitarian access planning using the 'Humanitarian Passability Index (HPI)' to identify segments with high blockage risk

Strengths

• 89.2% accuracy for AI surface model compared to 64.7% for OSM tags
• Fills surface data for 55.9% of segments missing OSM tags
• Includes multi-year comparison (2020 vs 2024) for infrastructure change detection

Limitations

• Geographic scope limited to arterial road classes only
• AI-derived predictions may contain classification errors in desert terrain
• Specific license terms under 'hdx-other' require verification before commercial use

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning model applied to PlanetScope satellite imagery combined with OpenStreetMap vector data

Time Range

2020-2024

Freshness

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

Geography

Turkmenistan