Equatorial Guinea: Road Surface, Width, and Passability for 2,800 km

Covering approximately 2,800 km of arterial roads in Equatorial Guinea, providing AI-derived surface and width classifications produced by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) geometries to fill data gaps in the national transportation network.

Use Cases

• Monitoring infrastructure development by tracking 'Road Surface Change' from unpaved to paved between 2020 and 2024
• Route optimization for heavy logistics using 'Road Width Class' to identify segments wider than 5.5 meters (Class 3)
• Humanitarian access modeling using the 'Humanitarian Passability Index (HPI)' to rank segments from highest to lowest logistical accessibility

Strengths

• Surface model accuracy of 89.2% significantly exceeds the 64.7% accuracy of standard OSM surface tags
• Provides surface data for 0.0024 million km of roads previously missing attributes
• Includes standardized width classes based on specific vehicle clearance (e.g., <3.5m, 3.5-5.5m, >5.5m)

Limitations

• Restricted to arterial roads, excluding local, residential, and unclassified road types
• AI-derived predictions may contain errors in areas with heavy cloud cover or dense forest canopy

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

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

Time Range

2020 - 2024

Freshness

Last updated March 2026 with imagery analysis spanning 2020 to 2024.

Geography

Equatorial Guinea