Decoding seasonal urban heat dynamics at neighborhood-scale using explainable deep learning for climate-resilient, digital twin-ready green planning
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Understanding the spatiotemporal dynamics of urban surface temperatures is essential for climate-resilient green planning under intensifying heat stress and rapid land-use change. This study investigates seasonal thermal behavior at a microscale analytical res... ...
