Tunisia Road Surface and Passability Data for 15,200 km of Arterial Roads

Stretching across approximately 15,200 km of arterial roads in Tunisia, providing AI-derived surface types, widths, and passability scores generated by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) data to identify infrastructure changes and fill attribute gaps.

Use Cases

• Evaluating logistical accessibility for emergency response using the Humanitarian Passability Index (HPI) scores
• Identifying infrastructure development trends by filtering for Road Surface Change from unpaved to paved
• Routing heavy transport vehicles by selecting segments with Road Width Class 3 (>5.5 m)

Strengths

• 89.2% accuracy for surface model predictions
• Covers 15,200 km of arterial road network
• Temporal change detection between 2020 and 2024 snapshots

Limitations

• Geographic focus is limited to arterial roads only
• AI-derived predictions have a 10.8% error rate relative to ground truth
• Relies on OSM road geometry which may have its own alignment issues

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap vector data

Time Range

2020 - 2024

Freshness

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

Geography

Tunisia