Côte d'Ivoire Road Surface and Passability Data for 12,600 km of Arterial Roads

HeiGIT produced this dataset of AI-derived road surface, width, and passability metrics for approximately 12,600 km of arterial roads in Côte d'Ivoire. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap data to classify motorways, trunks, and primary/secondary routes.

Use Cases

• Evaluating logistical accessibility for humanitarian aid using the Humanitarian Passability Index (HPI) scores
• Monitoring infrastructure upgrades from unpaved to paved using the Road Surface Change attribute
• Route planning for heavy machinery based on Road Width Class 3 (>5.5 m) segments

Strengths

• 89.2% accuracy for AI-derived surface predictions
• Fills surface data for 12,100 km of roads missing OSM tags
• Includes temporal change detection between 2020 and 2024

Limitations

• Geographic focus limited to arterial networks only
• AI-derived predictions may contain interpretation errors compared to ground-truth surveys

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap attributes

Time Range

2020-2024

Freshness

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

Geography

Côte d'Ivoire