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

AI-derived road surface, width, and passability metrics for approximately 4,100 km of arterial roads in Panama are provided by the Heidelberg Institute for Geoinformation Technology (HeiGIT). The data integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap attributes to classify motorways, trunk, primary, and secondary roads.

Use Cases

• Evaluating disaster relief logistics using the Humanitarian Passability Index (HPI) scores
• Monitoring national infrastructure growth via the Road Surface Change indicator
• Route optimization for heavy machinery using Road Width Class 3 (>5.5 m) data

Strengths

• 89.2% surface model accuracy
• Covers 1,100 km of roads missing OSM surface tags
• Multi-temporal surface predictions for 2020 and 2024

Limitations

• Geographic scope limited to arterial road networks
• AI-derived predictions may contain errors in 'Unknown' classifications

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap attributes

Time Range

2020-2024

Freshness

Last updated March 2026; contains temporal data from 2020 and 2024.

Geography

Panama