An integrated cyberGIS and machine learning framework for fine-scale prediction of Urban Heat Island using satellite remote sensing and urban sensor network data

Due to climate change and rapid urbanization, Urban Heat Island (UHI), featuring significantly higher temperature in metropolitan areas than surrounding areas, has caused negative impacts on urban communities. Temporal granularity is often limited in UHI studies based on satellite remote sensing dat...

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Detalles Bibliográficos
Autores principales: Lyu, Fangzheng, Wang, Shaohua, Han, Su Yeon, Catlett, Charlie, Wang, Shaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458483/
https://www.ncbi.nlm.nih.gov/pubmed/37522136
http://dx.doi.org/10.1007/s44212-022-00002-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9458483/
https://www.ncbi.nlm.nih.gov/pubmed/37522136
http://dx.doi.org/10.1007/s44212-022-00002-4

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