Ghana Arterial Roads: AI-Derived Surface and Passability Data (2020-2024)

This dataset maps approximately 14,600 km of arterial roads in Ghana, providing AI-derived surface types, widths, and passability scores from PlanetScope satellite imagery. Produced by HeiGIT, it covers arterial road classes including motorway, trunk, primary, and secondary segments with temporal comparisons between 2020 and 2024.

Use Cases

• Logistics routing using the Humanitarian Passability Index (HPI) to assess segment accessibility
• Infrastructure monitoring via the Road Surface Change indicator to identify newly paved segments
• Fleet management using Road Width Class to determine heavy truck suitability for specific routes

Strengths

• 89.2% surface prediction accuracy
• 14,600 km of arterial roads mapped
• Temporal change detection between 2020 and 2024
• Standardized Humanitarian Passability Index (HPI) for logistical planning

Limitations

• Restricted to arterial road classes, excluding local and residential streets
• AI-derived predictions may have errors in areas with dense canopy or cloud cover
• Geographic scope is limited to Ghana

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap (OSM) road geometries.

Time Range

2020 - 2024

Freshness

Last updated March 2026; contains temporal data points from 2020 and 2024.

Geography

Ghana