Togo Road Surface, Width, and Passability for 5,000 km of Arterials

Mapping approximately 5,000 km of arterial roads in Togo, this dataset provides AI-derived surface and width data from PlanetScope satellite imagery (2020 and 2024). Produced by HeiGIT, the records cover motorway, trunk, primary, and secondary road classes with associated passability scores. The analysis fills surface data gaps for approximately 900 km of roads that lack tags in OpenStreetMap.

Use Cases

• Planning humanitarian logistics by filtering for high-passability routes using the HPI score
• Identifying infrastructure development trends by analyzing the Road Surface Change indicator between 2020 and 2024
• Determining vehicle size constraints for specific routes using the Road Width Class (1-3) field

Strengths

• 89.2% surface prediction accuracy
• Multi-temporal comparison between 2020 and 2024
• Standardized Humanitarian Passability Index (HPI) scoring

Limitations

• AI-derived predictions may contain model errors compared to ground truth
• Geographic scope is limited to Togo
• Excludes the majority of the minor road network

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Time Range

2020 - 2024

Freshness

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

Geography

Togo