Bahamas Road Surface, Width, and Passability for 800 km of Arterials

A collection of AI-derived road surface, width, and passability metrics for approximately 800 km of arterial roads in the Bahamas, generated by HeiGIT using 2020 and 2024 PlanetScope satellite imagery. It supplements OpenStreetMap (OSM) data by providing surface predictions for segments lacking official tags, achieving a validated accuracy of 89.2%.

Use Cases

• Logistical route planning using the Humanitarian Passability Index (HPI) and Road Width Class
• Infrastructure monitoring via the Road Surface Change indicator
• Enriching OpenStreetMap data by filling missing 'surface' tags with DL Surface Prediction 2024

Strengths

• 89.2% surface prediction accuracy
• Multi-temporal change detection between 2020 and 2024
• Standardized 6-point Humanitarian Passability Index

Limitations

• Geographic restriction to the Bahamas
• Exclusion of non-arterial road classes
• AI-derived predictions may contain errors in areas with high cloud cover or shadows

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

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

Time Range

2020-2024

Freshness

Last updated March 2026; imagery analysis covers the period from 2020 to 2024.

Geography

Bahamas