Senegal Arterial Road Surface and Passability Data (2020-2024)

Ranging over approximately 9,700 km of arterial roads in Senegal, providing AI-derived surface types and width classifications produced by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap (OSM) data to assess road passability and infrastructure changes over a four-year period.

Use Cases

• Monitoring national infrastructure development by tracking 'Road Surface Change' from unpaved to paved between 2020 and 2024
• Logistics and supply chain planning using 'Road Width Class' to identify segments capable of unimpeded heavy truck flow
• Humanitarian aid routing using the 'Humanitarian Passability Index (HPI)' to prioritize segments with the highest logistical accessibility

Strengths

• 89.2% surface prediction accuracy compared to 64.7% for standard OSM tags
• Fills surface information gaps for 93% of arterial roads missing tags in OSM
• Multi-temporal coverage (2020 and 2024) enables infrastructure change detection

Limitations

• Restricted to high-capacity arterial road networks only
• Attributes are AI-derived predictions and may contain classification errors compared to ground-level surveys
• Geographic scope is limited to Senegal

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning models applied to PlanetScope satellite imagery (3m resolution) integrated with OpenStreetMap vector data.

Time Range

2020-2024

Freshness

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

Geography

Senegal