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Diurnal land surface temperature responses to urban morphology during heatwaves: insights from SDGSAT-1 and explainable machine learning

Understanding how urban morphological structure regulates land surface temperature (LST) is critical for mitigating the urban heat island (UHI) effect under extreme heatwave conditions. However, the interactive and threshold effects of urban morphology on diurnal LST variation remain insufficiently...

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Autori principali: Qixia Man, Cong Zhou, Changyin Han, Pinliang Dong, Changyong Dou, Zhongchang Sun, Xinming Yang, Baolei Zhang, Zhuang Tan
Natura: Artigo
Lingua:Inglês
Pubblicazione: Taylor & Francis Group 2026-12-01
Serie:International Journal of Digital Earth
Soggetti:
Diurnal LST
machine learning
SHAP method
extreme heatwaves
SDGSAT-1
Accesso online:https://www.tandfonline.com/doi/10.1080/17538947.2026.2693363
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