Reliable road networks drive economic and social development in emerging economies, particularly those in the Global South, and are crucial for achieving Sustainable Development Goals (SDGs). However, a lack of reliable economic indicators hinders progress monitoring. The authors propose a data-driven solution by combining machine learning (ML) and remote sensing to assess road quality. Training state-of-the-art vision transformers on satellite imagery...
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INFORMATION
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2024/05/31
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Document de travail
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190799
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1
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2024/06/03
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Disclosed
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Eyes on the Road : Evaluating Road Quality over Time Using Satellite Imagery in Eastern Democratic Republic of the Congo
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