Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments
Most Cited Paper
in Land Use and Ecosystem Services
18 Months Post-Publication
Class of 2026
“Machine Learning for Urban Heat Island (UHI) Analysis: Predicting Land Surface Temperature (LST) in Urban Environments”
A research intelligence initiative by Pepkio
pri.pepkio.com
Topics
Urban heat island (UHI) · UHI · Land surface temperature · Land surface temperature (LST) · machine learning · urban environments · LST prediction · Remote sensing · Spatial modeling · Remote sensing · Urban climate
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Pepkio Research Index (PRI). Topics and Trends in Most Cited Land Use and Ecosystem Services Papers, Class of 2026. https://pri.pepkio.com/top-papers/land-use-and-ecosystem-services/2026. Accessed 2026-10-24. Methodology Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459