A new study has unveiled a cutting-edge framework that harnesses deep learning and remote sensing to identify building materials with remarkable accuracy. This innovative approach enables the development of high-resolution material intensity databases—an essential tool for sustainable urban planning and strategic building retrofits.
By systematically classifying materials used in existing buildings, the framework facilitates efforts to reduce embodied carbon, enhance energy efficiency, and promote circularity in urban environments. Scalable and adaptable, this technology represents a significant leap forward in decarbonizing the built environment and driving the transition toward sustainable cities.
Recent Comments