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...

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Detalles Bibliográficos
Autores principales: Fung, Kwun Yip, Yang, Zong-Liang, Niyogi, Dev
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Paper
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

Internet

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

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