Ukraine Arterial Road Surface and Passability: 61,000 km AI-Derived Data

61,000 km of arterial roads in Ukraine with AI-derived surface and width attributes produced by HeiGIT using PlanetScope imagery from 2020 and 2024. The dataset covers motorways, trunks, primary, and secondary roads, filling gaps where OpenStreetMap (OSM) surface tags are missing for approximately 16,900 km of the network. It provides a Humanitarian Passability Index (HPI) to assess logistical accessibility for heavy transport.

Use Cases

• Logistics planning using the 'Humanitarian Passability Index (HPI)' to identify accessible routes for heavy trucks
• Infrastructure monitoring by analyzing 'Road Surface Change (2020-2024)' to detect transitions from unpaved to paved surfaces
• Vehicle routing optimization based on 'Road Width Class' to determine if segments support two-lane heavy truck flow

Strengths

• 89.2% accuracy for AI-derived surface predictions
• Covers 61,000 km of arterial roads
• Temporal comparison between 2020 and 2024 imagery

Limitations

• Geographic scope limited to arterial road classes
• Surface predictions may not capture rapid changes or damage occurring after the 2024 imagery capture

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; based on satellite imagery from 2020 and 2024.

Geography

Ukraine