Luxembourg Road Surface and Passability: 3,200 km of Arterial Roads

Offering AI-derived road surface, width, and passability metrics for approximately 3,200 km of arterial roads in Luxembourg, produced by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It integrates OpenStreetMap (OSM) attributes with deep-learning predictions to assess logistical accessibility and infrastructure changes over a four-year period.

Use Cases

• Monitoring infrastructure development by analyzing the 'Road Surface Change' field for unpaved-to-paved transitions
• Logistics and emergency response planning using the 'Humanitarian Passability Index (HPI)' to identify route constraints
• Enriching OpenStreetMap data by filling missing 'surface' tags with 89.2% accurate AI predictions

Strengths

• 89.2% accuracy for AI-derived surface predictions, exceeding standard OSM surface tag accuracy
• Consistent coverage across the entire national arterial network
• Includes temporal change detection for infrastructure monitoring between 2020 and 2024

Limitations

• Restricted to high-level arterial road classes only
• AI predictions may have reduced accuracy in areas with heavy tree canopy or complex urban shadows
• Small geographic sample size limited to the borders of Luxembourg

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

Luxembourg