Faroe Islands Road Infrastructure: AI-Derived Surface and Passability Data

HeiGIT generated this geospatial dataset covering 400 km of arterial roads in the Faroe Islands using PlanetScope satellite imagery from 2020 and 2024. It integrates OpenStreetMap attributes with AI-derived predictions for road surface, width, and a Humanitarian Passability Index (HPI).

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to assess vehicle accessibility for aid delivery
• Infrastructure monitoring by tracking Road Surface Change (2020-2024) to identify recent paving projects
• Emergency routing based on Road Width Class to identify segments prone to blockage or restricted to light vehicles

Strengths

• 89.2% accuracy for AI-derived surface model predictions
• Multi-temporal comparison between 2020 and 2024 imagery
• Standardized 6-point Humanitarian Passability Index for logistical planning

Limitations

• Geographic scope is restricted to the Faroe Islands
• Excludes minor and residential road networks
• AI-derived estimates may contain classification errors compared to ground truth

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap road segments

Time Range

2020-2024

Freshness

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

Geography

Faroe Islands