Venezuela Road Surface, Width, and Passability for 27,400 km of Roads

Mapping approximately 27,400 km of arterial roads in Venezuela, this dataset provides AI-derived surface types, widths, and passability scores from 2020 and 2024 PlanetScope imagery. Produced by HeiGIT, it integrates OpenStreetMap attributes with deep-learning predictions to assess national connectivity and humanitarian logistics.

Use Cases

• Assessing heavy vehicle accessibility using 'Road Width Class' and 'Humanitarian Passability Index'
• Monitoring infrastructure development by tracking 'Road Surface Change' from unpaved to paved
• Filling data gaps in OpenStreetMap where the 'surface tag' is missing using 'DL Surface Prediction'

Strengths

• 89.2% accuracy for AI-derived surface predictions
• Covers 27,400 km of the Venezuelan arterial road network
• Multi-temporal analysis for 2020 and 2024

Limitations

• Excludes lower-tier road classes like residential or local streets
• AI predictions may be affected by dense canopy cover or cloud interference in satellite imagery

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap road geometries.

Time Range

2020-2024

Freshness

Contains imagery-derived data from 2020 and 2024; last updated March 2026.

Geography

Venezuela