Czechia Road Surface and Passability Data for 25,500 km of Arterial Roads

HeiGIT generated this geospatial dataset covering approximately 25,500 km of arterial roads in Czechia using PlanetScope satellite imagery from 2020 and 2024. It provides AI-derived classifications for road surface, width, and logistical passability to supplement OpenStreetMap data where tags are missing.

Use Cases

• Logistics planning using the Humanitarian Passability Index (HPI) to assess route accessibility for heavy vehicles
• Infrastructure development tracking via the Road Surface Change column to identify newly paved segments
• Emergency response routing based on Road Width Class to ensure clearance for single-lane vs two-lane heavy truck flow

Strengths

• 89.2% surface model accuracy
• Multi-temporal coverage comparing 2020 and 2024 imagery
• Fills surface data for 46.8% of the arterial network missing OSM tags

Limitations

• Restricted to arterial road classifications, excluding local or residential streets
• AI-derived predictions may have a 10.8% error rate based on reported accuracy
• Road width is provided as categorical classes rather than exact meter measurements

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived predictions from PlanetScope satellite imagery combined with OpenStreetMap road geometries

Time Range

2020-2024

Freshness

Includes imagery analysis up to 2024; metadata last updated March 2026.

Geography

Czechia