Liechtenstein Road Surface and Passability Data from PlanetScope (2020-2024)

Covering approximately 100 kilometers of arterial roads in Liechtenstein, this dataset provides AI-derived surface and width metrics produced by HeiGIT. It integrates 2020 and 2024 PlanetScope satellite imagery with OpenStreetMap attributes to assess infrastructure changes and humanitarian accessibility.

Use Cases

• Detecting infrastructure upgrades by comparing 'DL Surface Prediction 2020' and 'DL Surface Prediction 2024'
• Identifying heavy vehicle bottlenecks using 'Road Width Class' (Class 1 vs Class 3)
• Prioritizing humanitarian aid routes based on the 'Humanitarian Passability Index (HPI)'

Strengths

• Surface model accuracy of 89.2%
• Multi-temporal comparison between 2020 and 2024
• Includes Humanitarian Passability Index (HPI) scores (1-6)

Limitations

• Small sample size of ~100 km total road length
• Limited to arterial road classes (motorway, trunk, primary, secondary)
• AI-derived predictions may contain errors despite high validation accuracy

Provenance

Source

HeiGIT (Heidelberg Institute for Geoinformation Technology)

Collection Method

AI-derived analysis of PlanetScope satellite imagery combined with OpenStreetMap vector data

Time Range

2020-2024

Freshness

Last updated March 2026; contains imagery analysis up to 2024.

Geography

Liechtenstein