Cambodia Road Surface, Width, and Passability for 8,400 km of Arterial Roads

HeiGIT produced this dataset of AI-derived surface, width, and passability metrics for 8,400 km of Cambodian arterial roads using 2020 and 2024 PlanetScope imagery. It supplements OpenStreetMap data by providing surface predictions for the 65.8% of segments that previously lacked tags, covering motorway, trunk, primary, and secondary road classes.

Use Cases

• Monitoring infrastructure development by tracking transitions in the Road Surface Change (2020-2024) field
• Planning heavy vehicle logistics by filtering for Road Width Class 3 (segments >5.5 m)
• Prioritizing humanitarian access routes based on the Humanitarian Passability Index (HPI) scores

Strengths

• Surface model achieves 89.2% accuracy, significantly higher than the 64.7% accuracy of existing OSM surface tags
• Provides multi-temporal coverage (2020 and 2024) to track infrastructure development
• Includes a standardized Humanitarian Passability Index (HPI) for logistical modeling

Limitations

• Restricted to arterial road classes, excluding tertiary, residential, and local road networks
• AI-derived predictions from satellite imagery may be affected by cloud cover or dense vegetation

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

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

Time Range

2020-2024

Freshness

Last updated March 2026; contains satellite-derived data from 2020 and 2024.

Geography

Cambodia