Cook Islands Road Surface Classification from OpenStreetMap and AI

Cook Islands road network data from OpenStreetMap, enhanced with AI-derived surface classifications. The dataset includes approximately 0.0006 million kilometers of roads, with classifications for paved and unpaved surfaces. It was created by HeiGIT and last updated in March 2026.

Use Cases

• Transportation planning based on road surface type and highway classification.
• Infrastructure analysis using attributes like surface, smoothness, and bridge status.
• Climate emissions assessment leveraging road surface data for vehicle emission modeling.
• GIS applications for routing and network analysis based on urban/rural classification.

Strengths

• Integrates multiple data sources: OpenStreetMap, deep learning predictions from Mapillary imagery, and urban layers from GHSU and AFRICAPOLIS.
• Provides AI-derived surface classifications (paved/unpaved) for approximately 0.0006 million km of roads.
• Offers multiple classification outputs, including OSM-prioritized and deep learning-prioritized combined surfaces.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count is unknown, which may limit suitability assessment.
• A significant portion (63.1365%) of road surface information is reported as missing in the base OSM data.

Provenance

Source

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

Collection Method

Surface classification derived using a hybrid deep learning approach, as detailed in a referenced arXiv paper.

Time Range

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

Freshness

Last updated 2026-03 02 17:17:21.807340; freshness should be verified.

Geography

Cook Islands.