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Researchers at Heidelberg Institute of Geoinformation Technology developed a deep learning framework to create the first global, multi-temporal dataset of road pavedness and width. Their analysis of 9.2 million km of critical arterial roads using PlanetScope satellite imagery from 2020 and 2024 provides a high-resolution, dynamic understanding of infrastructure development and its links to human development.