American Samoa Road Surface and Passability Data (2020-2024)

HeiGIT produced this dataset of AI-derived road surface, width, and passability metrics for arterial roads in American Samoa using PlanetScope satellite imagery from 2020 and 2024. It covers approximately 100 km of road segments classified in OpenStreetMap as motorway, trunk, primary, or secondary. The data provides a standardized assessment of logistical accessibility for the territory's primary transportation backbone.

Use Cases

• Logistics planning for heavy machinery using 'Road Width Class' to identify segments wider than 5.5 meters
• Infrastructure development monitoring by filtering for 'Road Surface Change' transitions from unpaved to paved
• Emergency response routing based on 'Humanitarian Passability Index (HPI)' scores

Strengths

• Surface model achieved 89.2% accuracy compared to 64.7% for OSM surface tags
• Multi-temporal coverage allows for road surface change detection between 2020 and 2024
• Standardized Humanitarian Passability Index (HPI) for logistical planning

Limitations

• Restricted to arterial road classes only
• Small geographic scope limited to American Samoa
• AI-derived predictions may contain errors despite high overall accuracy

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

American Samoa