Angola Road Surface and Passability Data for 21,900 km of Arterial Roads

Approximately 21,900 km of arterial roads in Angola, providing AI-derived surface types, widths, and passability scores generated by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) attributes to track infrastructure changes and logistical accessibility.

Use Cases

• Assessing logistical accessibility for heavy vehicles using 'Road Width Class' and 'Humanitarian Passability Index (HPI)'
• Monitoring national infrastructure progress via the 'Road Surface Change (2020-2024)' indicator
• Enhancing OpenStreetMap data by filling missing 'surface tag' values with 'DL Surface Prediction 2024'

Strengths

• Surface model achieves 89.2% accuracy
• Provides surface data for 20,200 km of roads missing OSM tags
• Includes multi-temporal change detection between 2020 and 2024

Limitations

• Geographic scope is limited to arterial road networks
• AI-derived predictions are subject to satellite imagery resolution constraints

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

Deep learning analysis of PlanetScope satellite imagery combined with OpenStreetMap road network data

Time Range

2020-2024

Freshness

Last updated March 2026; contains imagery-derived data from 2020 and 2024.

Geography

Angola