Micronesia Road Surface, Width, and Passability for 200km of Arterial Roads

Micronesia's 200 km arterial road network is mapped with AI-derived surface, width, and passability attributes generated by HeiGIT from 2020 and 2024 PlanetScope imagery. The data covers segments classified in OpenStreetMap as motorway, trunk, primary, and secondary roads, providing 100% coverage for previously missing surface tags.

Use Cases

• Assessing logistical accessibility for disaster response using the Humanitarian Passability Index (HPI)
• Monitoring national infrastructure development by tracking transitions in the Road Surface Change column
• Enhancing transportation models by incorporating Road Width Class to determine heavy truck flow capacity

Strengths

• 89.2% model accuracy for surface prediction compared to 64.7% for baseline OSM tags
• Multi-temporal coverage (2020 and 2024) enabling infrastructure change detection
• Standardized width classification (Class 1-3) for heavy vehicle logistics

Limitations

• Small geographic scale limited to approximately 200 km of total road length
• Focuses exclusively on arterial roads, leaving the majority of the local network unmapped
• AI-derived width estimates may be affected by canopy cover or image resolution

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Time Range

2020-2024

Freshness

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

Geography

Federated States of Micronesia