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An urban energy balance-guided machine learning approach for synthetic nocturnal surface Urban Heat Island prediction: A heatwave event in Naples.

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第一作者： Ana,Oliveira

第一单位： IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Portugal,. Electronic address: anappmoliveira@tecnico.ulisboa.pt.

作者： Ana,Oliveira ^[1] ; António,Lopes ^[2] ; Samuel,Niza ^[3] ; Amílcar,Soares ^[4]

作者单位： IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Portugal,. Electronic address: anappmoliveira@tecnico.ulisboa.pt. ^[1] Centro de Estudos Geográficos, IGOT - Instituto de Geografia e Ordenamento do Território, Universidade de Lisboa, Portugal,. Electronic address: antonio.lopes@campus.ul.pt. ^[2] IN+ Center for Innovation, Technology and Policy Research, Instituto Superior Técnico, Universidade de Lisboa, Portugal,. Electronic address: samuel.niza@tecnico.ulisboa.pt. ^[3] CERENA, Instituto Superior Técnico, Universidade de Lisboa, Portugal. Electronic address: asoares@tecnico.ulisboa.pt. ^[4]

关键词 Heatwave Land surface temperature Local climate zones Multisensor data fusion Random forest Satellite thermal imagery Urban Heat Island Urban climate adaptation

医学主题词城市(Cities);环境监测(Environmental Monitoring);热温度(Hot Temperature);温度(Temperature)

DOI 10.1016/j.scitotenv.2021.150130

PMID 34537713

发布时间 2021-11-24

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准确一般字义偏差语意偏离译文作用小提交