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

7,100 km of arterial road segments in Moldova with AI-derived surface and width attributes produced by HeiGIT using 2020 and 2024 PlanetScope imagery. The data covers motorways, trunks, primary, and secondary roads, filling gaps for the 58% of segments lacking surface tags in OpenStreetMap. The analysis provides a multi-temporal view of infrastructure changes and logistical accessibility.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify high-risk blockages for heavy trucks
• Infrastructure monitoring by tracking Road Surface Change from 2020 to 2024 to identify paved transitions
• Emergency routing based on Road Width Class to determine if segments support two-lane heavy truck flow (Class 3) or light vehicles only (Class 1)

Strengths

• 89.2% surface prediction accuracy compared to 64.7% for OSM tags
• Fills surface data for 4,100 km of roads missing OSM attributes
• Multi-temporal coverage (2020 and 2024) for change detection

Limitations

• Restricted to arterial road classes only, omitting the majority of the minor road network
• AI-derived attributes are subject to model error and may differ from ground-truth surveys
• License is hdx-other which may have specific usage restrictions

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

AI-derived predictions from PlanetScope satellite imagery combined with OpenStreetMap road geometries and attributes

Time Range

2020-2024

Freshness

Last updated March 2026; utilizes satellite imagery from 2020 and 2024 for temporal comparison.

Geography

Republic of Moldova