Ireland Road Surface Classification from OpenStreetMap and AI Predictions

Approximately 0.2076 million kilometers of roads are mapped in OpenStreetMap for Ireland. The dataset classifies road surfaces as paved or unpaved using a hybrid deep learning approach, providing AI-derived estimates and attributes from OSM. It was created by HeiGIT and last updated in March 2026.

Use Cases

• Transportation planning based on paved and unpaved road classifications.
• Infrastructure analysis using attributes like highway type, surface, and width.
• Climate emissions assessment based on road surface type and urban/rural classification.
• GIS applications for routing and network analysis using geospatial road data.

Strengths

• Covers approximately 0.2076 million kilometers of roads in Ireland.
• Provides AI-derived estimates for paved (0.0592 million km) and unpaved (0.009 million km) roads.
• Augments OSM data with deep learning predictions from Mapillary imagery and urban classification layers.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

OpenStreetMap (OSM), augmented with deep learning predictions from Mapillary imagery and urban layers (GHSU, AFRICAPOLIS).

Collection Method

Surface classification derived using a hybrid deep learning approach.

Time Range

Mean timestamp of predictions is provided (DL_mean_timestamp), but overall temporal coverage is not specified.

Freshness

Last updated 2026-03-02 17:01:17.954549; freshness should be verified.

Geography

Ireland.