Saint Vincent and the Grenadines Road Surface and Passability (2020-2024)

HeiGIT produced this dataset of AI-derived road surface, width, and passability metrics for arterial roads in Saint Vincent and the Grenadines using 2020 and 2024 PlanetScope satellite imagery. It maps approximately 100 km of road segments, providing higher accuracy for surface types than standard OpenStreetMap tags. The analysis focuses on motorway, trunk, primary, and secondary road classifications.

Use Cases

• Assessing logistical accessibility for heavy vehicles using the 'Road Width Class' and 'Humanitarian Passability Index (HPI)'
• Monitoring infrastructure development by analyzing 'Road Surface Change' between 2020 and 2024
• Filling gaps in OpenStreetMap where 'surface tag' is missing by using 'DL Surface Prediction 2024'

Strengths

• Surface model accuracy of 89.2% compared to 64.7% for OSM tags
• Multi-temporal coverage comparing 2020 and 2024 road conditions
• Standardized 6-point Humanitarian Passability Index (HPI) for logistics

Limitations

• Restricted to arterial roads, excluding local and residential streets
• Small sample size covering approximately 100 km of road segments
• Potential AI misclassification in areas with dense canopy or cloud cover

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery integrated with OpenStreetMap road geometry

Time Range

2020-2024

Freshness

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

Geography

Saint Vincent and the Grenadines