Åland Islands Road Surface and Passability Data (2020-2024)

AI-derived road surface, width, and passability metrics for approximately 400 km of arterial roads in the Åland Islands, produced by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It integrates OpenStreetMap (OSM) road segments with deep-learning predictions to fill gaps in existing surface tags, achieving a validated 89.2% accuracy for surface classification.

Use Cases

• Logistics planning using the 'Humanitarian Passability Index (HPI)' to identify high-risk or restricted routes
• Infrastructure monitoring by analyzing 'Road Surface Change' to track paving progress between 2020 and 2024
• Transportation modeling using 'Road Width Class' to determine suitability for heavy truck alternating flow

Strengths

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

Limitations

• Small geographic scope limited to the Åland Islands
• Restricted to high-level arterial road classifications
• AI-derived width and surface predictions may contain errors inherent to satellite imagery resolution

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery integrated with OpenStreetMap road segment geometries.

Time Range

2020 - 2024

Freshness

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

Geography

Åland Islands