Armenia Arterial Road Surface and Passability for 4,400 km

4,400 km of arterial roads in Armenia, providing AI-derived surface and width data from 2020 and 2024 PlanetScope satellite imagery. Produced by HeiGIT, it focuses on motorway, trunk, primary, and secondary road classes to assess national connectivity. The data fills significant gaps where OpenStreetMap (OSM) lacks surface tags, achieving 89.2% prediction accuracy.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify accessibility constraints for aid delivery
• Infrastructure monitoring by analyzing Road Surface Change to detect unpaved-to-paved transitions over a four-year period
• Vehicle routing optimization using Road Width Class to determine segments capable of supporting two-lane heavy truck flow

Strengths

• 89.2% surface model accuracy
• 4,400 km of arterial road coverage
• Multi-temporal change detection for 2020-2024

Limitations

• Restricted to arterial road classifications only
• AI-derived predictions may contain errors compared to ground-truth physical inspections

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

Deep learning analysis of PlanetScope satellite imagery integrated with OpenStreetMap road geometries.

Time Range

2020-2024

Freshness

Contains comparative data from 2020 and 2024; last updated March 2026.

Geography

Armenia