Cabo Verde Arterial Road Surface and Passability Data (2020-2024)

Delivering AI-derived road surface, width, and passability metrics for approximately 700 km of arterial roads in Cabo Verde, produced by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) data to classify motorways, trunks, and primary/secondary roads.

Use Cases

• Monitoring infrastructure progress using the 'Road Surface Change' indicator to identify unpaved-to-paved transitions
• Logistics planning for heavy transport using 'Road Width Class' to identify segments wider than 5.5m
• Emergency response routing based on 'Humanitarian Passability Index' scores

Strengths

• 89.2% surface model accuracy
• Multi-temporal surface predictions for 2020 and 2024
• Standardized width classification based on vehicle capacity

Limitations

• Restricted to arterial road classes only
• AI-derived predictions have a documented 10.8% error rate
• Small total geographic extent of approximately 700 km

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery integrated with OpenStreetMap data

Time Range

2020-2024

Freshness

Contains imagery-derived data from 2020 and 2024; last updated in March 2026.

Geography

Cabo Verde