Prediction of next-day 1-km canopy urban heat island by integrating a multi-block convolutional neural network with satellite- and ground-based observations

Ge, Shuang; Zhan, Wenfeng; Li, Jiufeng; Li, Long; Dong, Pan; Li, Xiang; Wang, Chenguang; Wang, Chunli; Gao, Yihan

doi:10.1016/j.scs.2025.106701

Cited by 6Urban Heat Island MitigationWind and Air Flow StudiesMeteorological Phenomena and Simulations

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Prediction of next-day 1-km canopy urban heat island by integrating a multi-block convolutional neural network with satellite- and ground-based observations

Ge, Shuang, Zhan, Wenfeng, Li, Jiufeng, Li, Long, Dong, Pan, Li, Xiang, Wang, Chenguang, Wang, Chunli, Gao, Yihan·2025·Sustainable Cities and Society

DOI 10.1016/j.scs.2025.106701

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The literature suggests that deep learning-based heat prediction, urban heat risk assessment, and GPU-accelerated computation have mostly been examined separately.
“In general, the literature suggests that deep learning-based heat prediction [27, 28], urban heat risk assessment [29], and GPU-accelerated computation [26] have mostly been examined separately.”
From GPU-Accelerated Deep Learning for Heatwave Prediction and Urban Heat Risk Assessment (2026) · cites this paper as [27]

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Authors: Ge, S., Zhan, W., Li, J., Li, L., Dong, P., Li, X., Wang, C., Wang, C., & Gao, Y.
Affiliations: Ministry of Natural Resources (CN)
Nanjing Normal University (CN)
Corresponding author: Zhan, Wenfeng
ORCID: Li, Jiufeng
Li, Long
Li, Xiang
Wang, Chenguang
Gao, Yihan
Venue: Sustainable Cities and Society
Publisher: Elsevier BV
Published: 2025-09
Volume: 131
Pages: 106701
ISSN: 2210-6707 (ISSN-L)
DOI: 10.1016/j.scs.2025.106701
OpenAlex: W4413049052
Cited by: 4
References: 48
Citations by year: 2026: 4
FWCI: 1.11
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
doi.org/10.15223/policy-017 (stm-asf)
doi.org/10.15223/policy-037 (stm-asf)
doi.org/10.15223/policy-012 (stm-asf)
doi.org/10.15223/policy-029 (stm-asf)
doi.org/10.15223/policy-004 (stm-asf)
Locations: Sustainable Cities and Society (publishedVersion)
Funders: Fundamental Research Funds for the Central Universities (2024300388)
National Natural Science Foundation of China (42171306)
Graduate Research and Innovation Projects of Jiangsu Province (KYCX25_0213)
Topics: Physical Sciences › Environmental Science › Environmental Engineering › Urban Heat Island Mitigation
Physical Sciences › Environmental Science › Environmental Engineering › Wind and Air Flow Studies
Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
Keywords: urban heat island, satellite remote sensing, urban heat mitigation

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Prediction of next-day 1-km canopy urban heat island by integrating a multi-block convolutional neural network with satellite- and ground-based observations

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