Cayman Islands Road Surface and Passability for 200km of Arterial Roads

Approximately 200 km of arterial roads in the Cayman Islands are described through AI-derived surface, width, and passability metrics. Created by HeiGIT, the data utilizes PlanetScope satellite imagery from 2020 and 2024 to analyze motorway, trunk, primary, and secondary road classes. The dataset integrates deep-learning predictions with existing OpenStreetMap attributes to provide a more complete view of national connectivity.

Use Cases

• Evaluating heavy vehicle accessibility using 'Road Width Class' and 'Humanitarian Passability Index'
• Identifying infrastructure growth via 'Road Surface Change' indicators between 2020 and 2024
• Filling missing 'surface' tags in OpenStreetMap records using 'DL Surface Prediction' values

Strengths

• 89.2% surface model accuracy compared to 64.7% for standard OSM tags
• Dual-year temporal comparison (2020 vs 2024) for infrastructure monitoring
• Includes a specialized Humanitarian Passability Index (HPI) for logistics

Limitations

• Small sample size restricted to approximately 200 km of roads
• Geographic scope is limited to the Cayman Islands
• AI-derived predictions may contain model-specific biases from satellite imagery interpretation

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; imagery analysis covers the period from 2020 to 2024.

Geography

Cayman Islands