Oman Arterial Road Surface and Passability Data for 14,400 km

14,400 km of arterial road segments in Oman feature AI-derived surface and width attributes generated by HeiGIT from 2020 and 2024 PlanetScope imagery. The data supplements OpenStreetMap by providing surface predictions for the 48.2% of segments that lack existing tags. It focuses on motorways, trunks, primary, and secondary roads to assess national connectivity.

Use Cases

• Evaluating logistical accessibility for heavy transport using the Humanitarian Passability Index (HPI)
• Identifying infrastructure development by filtering for 'unpaved to paved' transitions in the Road Surface Change column
• Enhancing navigation datasets by populating missing surface attributes with DL Surface Prediction values

Strengths

• 89.2% surface prediction accuracy
• Covers 14,400 km of the arterial road network
• Fills surface data gaps for 48.2% of OSM segments
• Multi-temporal comparison between 2020 and 2024

Limitations

• Restricted to arterial road classifications only
• AI-derived predictions are subject to model error compared to ground-level verification

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap road geometries.

Time Range

2020-2024

Freshness

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

Geography

Oman