New paper in Nature Communications “The changing surface of the world’s roads”

The new paper presents the first global, multi-temporal dataset of road pavedness and width, built by applying a deep learning framework to PlanetScope satellite imagery from 2020 and 2024 to classify 9.2 million kilometers of critical arterial roads. The dataset works across scales, connecting four-year changes in pavedness to national human development trajectories.