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

HeiGIT produced this dataset mapping approximately 9,500 km of arterial roads in Israel using 2020 and 2024 PlanetScope satellite imagery. It features AI-derived classifications for road surface, width, and passability across motorway, trunk, primary, and secondary road types.

Use Cases

• Logistics planning using Road Width Class to identify routes suitable for two-lane heavy trucks
• Infrastructure monitoring via Road Surface Change to detect unpaved-to-paved transitions between 2020 and 2024
• Humanitarian access modeling using the 1-6 Humanitarian Passability Index (HPI) scores to assess logistical accessibility

Strengths

• 89.2% accuracy for road surface model predictions
• Covers 9,500 km of arterial road infrastructure
• Fills surface data for 47% of road segments lacking OSM tags

Limitations

• Restricted to arterial road classes only
• AI-derived predictions may contain errors compared to ground-level verification
• Geographic focus is limited to Israel

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap vector data.

Time Range

2020-2024

Freshness

Last updated March 2026; temporal coverage includes satellite imagery from 2020 and 2024.

Geography

Israel