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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Detalhes bibliográficos

Principais autores:	Qixia Man, Cong Zhou, Changyin Han, Pinliang Dong, Changyong Dou, Zhongchang Sun, Xinming Yang, Baolei Zhang, Zhuang Tan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Taylor & Francis Group 2026-12-01
Colecção:	International Journal of Digital Earth
Assuntos:	Diurnal LST machine learning SHAP method extreme heatwaves SDGSAT-1
Acesso em linha:	https://www.tandfonline.com/doi/10.1080/17538947.2026.2693363
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