Guyana Arterial Road Surface and Passability Data (2020-2024)

HeiGIT produced this dataset of AI-derived road attributes for approximately 1,000 km of arterial roads in Guyana using 2020 and 2024 PlanetScope satellite imagery. It maps surface types, width classifications, and passability scores for segments classified in OpenStreetMap as motorway, trunk, primary, or secondary. The data provides a multi-temporal view of infrastructure changes over a four-year period.

Use Cases

• Monitoring infrastructure development by identifying segments that transitioned from unpaved to paved in the Road Surface Change column
• Logistics and heavy vehicle routing using Road Width Class to identify segments wider than 5.5 meters (Class 3)
• Humanitarian accessibility mapping using the Humanitarian Passability Index (HPI) to prioritize aid delivery routes

Strengths

• High classification accuracy of 89.2% for road surface predictions
• Multi-temporal surface change detection between 2020 and 2024
• Standardized width classification (Class 1-3) for logistical planning

Limitations

• Limited to arterial road classes, excluding tertiary and residential streets
• AI-derived predictions may contain errors despite high validation accuracy
• Small geographic scale covering only 1,000 km of total road length

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning models applied to PlanetScope satellite imagery (3m resolution) integrated with OpenStreetMap road geometries.

Time Range

2020-2024

Freshness

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

Geography

Guyana