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

HeiGIT produced this mapping of approximately 39,600 km of arterial roads in Chile using 2020 and 2024 PlanetScope satellite imagery. It provides AI-derived classifications for road surface, width, and a Humanitarian Passability Index (HPI) for motorway, trunk, primary, and secondary road classes.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify high-risk blockage areas
• Infrastructure monitoring by tracking the Road Surface Change (2020-2024) indicator
• Vehicle routing optimization based on Road Width Class to ensure heavy truck accessibility

Strengths

• 89.2% accuracy for surface model predictions
• Covers 39,600 km of arterial road network
• Multi-temporal surface change detection between 2020 and 2024

Limitations

• Restricted to arterial road classes
• AI-derived predictions may contain errors compared to ground-truth surveys

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

Deep learning model applied to PlanetScope satellite imagery (3m resolution) and integrated with OpenStreetMap data.

Time Range

2020-2024

Freshness

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

Geography

Chile