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Improving the local climate zone classification with building height, imperviousness, and machine learning for urban models
The Local Climate Zone (LCZ) classification is already widely used in urban heat island and other climate studies. The current classification method does not incorporate crucial urban auxiliary GIS data on building height and imperviousness that could significantly improve urban-type LCZ classificat...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer Nature Singapore
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9206637/ https://www.ncbi.nlm.nih.gov/pubmed/35734266 http://dx.doi.org/10.1007/s43762-022-00046-x |