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

Approximately 14,700 km of arterial roads in Mongolia, providing AI-derived surface types and width classifications generated by HeiGIT from 2020 and 2024 PlanetScope satellite imagery. It integrates OpenStreetMap (OSM) road segments with deep-learning predictions for surface material, width-based capacity, and a Humanitarian Passability Index (HPI).

Use Cases

• Logistics and emergency response planning using the Humanitarian Passability Index (HPI) to identify high-risk blockages
• Infrastructure development monitoring by analyzing the Road Surface Change column to identify newly paved segments
• Transportation routing optimization using Road Width Class to determine suitability for heavy truck traffic

Strengths

• AI-derived surface model achieves 89.2% accuracy
• Provides surface data for 1,100 km of roads missing tags in OpenStreetMap
• Includes temporal change detection for road paving between 2020 and 2024
• Standardized 1-6 Humanitarian Passability Index for logistical planning

Limitations

• Restricted to arterial road networks only
• AI predictions may contain errors compared to ground-level surveys
• Geographic scope is limited to the national borders of Mongolia

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

Deep learning analysis of PlanetScope satellite imagery integrated with OpenStreetMap vector data

Time Range

2020 - 2024

Freshness

Based on satellite imagery from 2020 and 2024; last updated in March 2026.

Geography

Mongolia