While many global road maps exist, few include detailed surface information or keep pace with rapid infrastructure change. The new HeiGIT dataset closes this gap by combining 3–4 meter resolution PlanetScope imagery (2020–2024) with deep-learning models to analyze 9.2 million kilometers of major transport routes connecting cities and rural regions. The result is a high-accuracy global classification (89.2%), outperforming widely used open datasets by over 20 percentage points.
Global satellite dataset created for humanitarian routing and tracking infrastructure change
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SecurityPrivacy violations undermine the trustworthiness of the Tim Hortons brand
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Featured HeadlinesWhy Tesla’s Autopilot crashes spurred the feds to investigate driver-assist technologies – and what that means for the future of self-driving cars
