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

Offering AI-derived road attributes for approximately 500 km of arterial roads in the Falkland Islands, generated by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It includes surface type predictions, width classifications, and a Humanitarian Passability Index (HPI) for segments classified in OpenStreetMap as motorway, trunk, primary, or secondary roads.

Use Cases

• Monitoring infrastructure development by comparing 'DL Surface Prediction 2020' and 'DL Surface Prediction 2024' to identify 'Road Surface Change'.
• Logistics planning for heavy vehicles using 'Road Width Class' to identify segments wider than 5.5 meters (Class 3).
• Humanitarian access assessment using the 'Humanitarian Passability Index (HPI)' to prioritize routes with high passability scores.

Strengths

• High classification accuracy of 89.2% for AI-derived road surface predictions.
• Multi-temporal coverage (2020 and 2024) allowing for change detection.
• Standardized Humanitarian Passability Index (HPI) scoring from 1 to 6.

Limitations

• Limited to arterial road classes (motorway, trunk, primary, secondary), excluding minor local roads or tracks.
• Small geographic scope restricted to the Falkland Islands (Malvinas).
• Potential for AI prediction errors in areas with cloud cover or dense vegetation.

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap vector data

Time Range

2020-2024

Freshness

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

Geography

Falkland Islands (Malvinas)