Philippines Arterial Road Surface and Passability for 46,600 km

HeiGIT generated this dataset covering 46,600 km of arterial roads in the Philippines using PlanetScope satellite imagery from 2020 and 2024. It provides AI-derived classifications for road surface, width, and passability to supplement OpenStreetMap data.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to identify accessible routes for heavy trucks
• Infrastructure monitoring by analyzing Road Surface Change to detect transitions from unpaved to paved roads
• Vehicle routing optimization based on Road Width Class to determine if segments support two-lane flow

Strengths

• Surface model achieves 89.2% accuracy compared to 64.7% for standard OSM tags
• Provides surface data for 16,100 km of roads previously missing tags in OSM
• Includes multi-temporal change detection between 2020 and 2024

Limitations

• Geographic scope is limited to arterial roads only
• Surface predictions include an 'Unknown' category where AI confidence was low
• Width classes are categorical (1-3) rather than exact meter measurements

Provenance

Source

Heidelberg Institute for Geoinformation Technology (HeiGIT)

Collection Method

AI-derived predictions from PlanetScope satellite imagery integrated with OpenStreetMap vector data

Time Range

2020-2024

Freshness

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

Geography

Philippines