Cyprus Road Surface and Passability Data for 3,800 km of Arterial Roads

HeiGIT produced this dataset covering approximately 3,800 km of arterial roads in Cyprus using PlanetScope satellite imagery from 2020 and 2024. It provides AI-derived attributes for road surface, width, and passability across motorway, trunk, primary, and secondary classifications.

Use Cases

• Evaluating heavy vehicle accessibility using the Road Width Class and Humanitarian Passability Index (HPI) scores
• Identifying infrastructure improvements or degradation through the Road Surface Change attribute
• Filling missing surface tag data in OpenStreetMap using the DL Surface Prediction values

Strengths

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

Limitations

• Geographic scope is restricted to Cyprus
• Excludes lower-tier road classifications such as residential or service roads
• AI-derived predictions may contain localized errors compared to ground-level observations

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; includes satellite imagery analysis from 2020 and 2024.

Geography

Cyprus