Christmas Island Road Surface and Passability Data (2020-2024)

HeiGIT produced this geospatial dataset providing AI-derived road surface, width, and passability metrics for arterial roads on Christmas Island using PlanetScope satellite imagery from 2020 and 2024. It supplements OpenStreetMap (OSM) data with deep-learning predictions to identify paved and unpaved segments across the island's primary transport network.

Use Cases

• Evaluating vehicle accessibility for disaster response using the Humanitarian Passability Index (HPI)
• Identifying infrastructure upgrades by tracking transitions in Road Surface Change from 2020 to 2024
• Determining heavy vehicle routing based on Road Width Class (1-3) thresholds

Strengths

• 89.2% surface prediction accuracy
• Multi-temporal comparison (2020 vs 2024)
• Standardized 1-6 Humanitarian Passability Index

Limitations

• Geographic scope limited to Christmas Island
• Excludes residential and minor road classes
• AI-derived predictions may contain errors in high-canopy areas

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery integrated with OpenStreetMap data

Time Range

2020-2024

Freshness

Based on 2020 and 2024 imagery; last metadata update March 2026.

Geography

Christmas Island