Spatiotemporal analysis of thermal islands in a semi-arid city: A case study of Kermanshah, Iran using machine learning and remote sensing

Studying urban land use/land cover (LULC) and land surface temperature (LST), and assessing their changes, is crucial for understanding and mitigating the environmental and climatic impacts on cities in semi-arid regions, where water scarcity and heat stress exacerbate urban sustainability challenge...

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Bibliographic Details

Published in:	Environmental Challenges
Main Authors:	Peyman Karami, Seyed-Mohsen Mousavi
Format:	Article
Language:	English
Published:	Elsevier 2025-09-01
Subjects:	Urban heat islands Land surface temperature Kermanshah Machine learning Sustainable urban planning Landscape metrics
Online Access:	http://www.sciencedirect.com/science/article/pii/S2667010025000939