Timor-Leste Road Surface and Passability for 1,700 km of Arterial Roads

AI-derived road attributes for 1,700 km of arterial roads in Timor-Leste, produced by HeiGIT using PlanetScope satellite imagery from 2020 and 2024. It maps surface types, width classes, and passability scores for segments classified in OpenStreetMap as motorway, trunk, primary, and secondary roads.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify segments with high blockage risk
• Infrastructure monitoring by analyzing Road Surface Change to track national paving progress
• Transportation modeling using Road Width Class to determine routes suitable for heavy truck flow

Strengths

• 89.2% accuracy for the AI surface model
• Covers 1,700 km of the national road backbone
• Includes temporal change detection between 2020 and 2024
• Expert-derived Humanitarian Passability Index (HPI) for logistics

Limitations

• Excludes local and residential road classes
• Geographic scope is limited to Timor-Leste
• AI-derived predictions may contain errors compared to ground-level surveys

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

Based on satellite imagery from 2020 and 2024; last updated March 2026.

Geography

Timor-Leste