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

Montenegro arterial road network data featuring AI-derived surface and width attributes generated by HeiGIT from 2020 and 2024 PlanetScope imagery. It covers approximately 2,200 km of roads classified as motorway, trunk, primary, and secondary in OpenStreetMap.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify high-risk routes for heavy vehicles
• Infrastructure monitoring by analyzing the Road Surface Change (2020-2024) indicator to track paving progress
• Emergency response routing based on Road Width Class (1-3) to determine if segments can support two-lane heavy truck flow

Strengths

• 89.2% accuracy for the PlanetScope-based surface model
• Covers 2,200 km of arterial roads
• Includes temporal change detection between 2020 and 2024

Limitations

• Excludes minor road classes like residential or unclassified segments
• AI-derived predictions may contain errors in areas with satellite imagery obstructions

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap road segments.

Time Range

2020-2024

Freshness

Includes data from 2020 and 2024 imagery; last updated March 2026.

Geography

Montenegro