Mozambique Road Surface, Width, and Passability for 16,400 km of Arterial Roads

HeiGIT generated this dataset of AI-derived road surface, width, and passability metrics covering 16,400 km of arterial roads in Mozambique using 2020 and 2024 PlanetScope imagery. It supplements OpenStreetMap (OSM) data by predicting surface types for the 18% of segments lacking tags, achieving 89.2% accuracy in surface classification.

Use Cases

• Evaluating logistical constraints for emergency response using the Humanitarian Passability Index (HPI) scores
• Identifying infrastructure upgrades and development via the Road Surface Change indicator
• Determining vehicle size limits and blockage risks using the Road Width Class

Strengths

• 89.2% surface model accuracy
• Covers 16,400 km of arterial roads
• Includes temporal change detection between 2020 and 2024
• Standardized Humanitarian Passability Index (HPI)

Limitations

• Geographic focus is limited to Mozambique
• Excludes minor and local road classes
• AI-derived predictions may contain errors compared to ground-truth surveys

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery combined with OpenStreetMap vector data

Time Range

2020-2024

Freshness

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

Geography

Mozambique