Quantitative assessment and driving factors analysis of surface urban heat island of urban agglomerations in China based on GEE
Author:
Funder
Innovation and Entrepreneurship Talent Project of Lanzhou
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11356-024-34205-w.pdf
Reference51 articles.
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2. Cheval S, Popa AM, Șandric I, Iojă IC (2020) Exploratory analysis of cooling effect of urban lakes on land surface temperature in Bucharest (Romania) using Landsat imagery. Urban Clim 34:100696. https://doi.org/10.1016/j.uclim.2020.100696
3. Clinton N, Gong P (2013) MODIS detected surface urban heat islands and sinks: global locations and controls. Remote Sens Environ 134:294–304. https://doi.org/10.1016/j.rse.2013.03.008
4. Du HY, Wang DD, Wang YY, Zhao XL, Qin F, Jiang H, Cai YL (2016) Influences of land cover types, meteorological conditions, anthropogenic heat and urban area on surface urban heat island in the Yangtze River Delta Urban Agglomeration. Sci Total Environ 571:461–470. https://doi.org/10.1016/j.scitotenv.2016.07.012
5. Du Y, Zhao J, Huang Q (2022) Quantitative driving analysis of climate on potential evapotranspiration in Loess Plateau incorporating synergistic effects. Ecol Ind 141:109076. https://doi.org/10.1016/j.ecolind.2022.109076
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