British Virgin Islands Road Surface and Passability Data (2020-2024)

A source of AI-derived road surface, width, and passability metrics for arterial roads in the British Virgin Islands, produced by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It covers approximately 100 km of road segments classified in OpenStreetMap as motorway, trunk, primary, or secondary.

Use Cases

• Logistical planning for disaster relief using the Humanitarian Passability Index (HPI) to identify high-access routes
• Infrastructure monitoring by tracking the Road Surface Change indicator for newly paved segments
• Vehicle routing optimization based on Road Width Class to ensure heavy trucks can pass through segments

Strengths

• 89.2% accuracy for AI-derived surface models
• Temporal change detection between 2020 and 2024
• Standardized width classes for heavy vehicle logistics

Limitations

• Small geographic scope limited to the British Virgin Islands
• Excludes minor and residential road networks
• AI predictions may be affected by cloud cover or shadows in satellite imagery

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery combined with OpenStreetMap road network data.

Time Range

2020-2024

Freshness

Last updated March 2026; contains imagery-derived data from 2020 and 2024.

Geography

British Virgin Islands