Urban Thermal Archetype Classification in the Context of Urban Development Transformation Using Machine Learning Techniques
In pursuit of urban climate resilience, it is crucial to characterize the spatial heterogeneity of urban thermal environments for spatially targeted mitigation, with the local climate zone (LCZ) framework emerging as a prevailing and powerful tool. However, the inherent complexity and highly dynamic...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2025-01-01
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| Series: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/11103724/ |
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