Seasonal Variations of Daytime Land Surface Temperature and Their Underlying Drivers over Wuhan, China

Rapid urbanization greatly alters land surface vegetation cover and heat distribution, leading to the development of urban island (UHI) effect seriously affecting healthy cities comfort living. As an indicator health livability, monitoring distribution temperature (LST) discovering its main impacting factors are receiving increasing attention in effort develop more sustainably. In this study, we analyzed spatial patterns LST city Wuhan, China, from 2013 2019. We detected hot cold poles four seasons through clustering outlier analysis (based on Anselin local Moran’s I) LST. Furthermore, introduced geographical detector model quantify impact six physical socio-economic factors, including digital elevation (DEM), index-based built-up index (IBI), modified normalized difference water (MNDWI), (NDVI), population, Gross Domestic Product (GDP) Wuhan. Finally, identify influence temperature, croplands, woodlands, grasslands, areas was analyzed. The results showed that low temperatures mainly distributed over woodland areas, followed by grasslands; high concentrated areas. maximum between covers occurs spring summer, while can be ignored winter. MNDWI, IBI, NDVI key driving thermal values change especially their interaction. found area green space (woodlands grasslands) tends 5.4 °C 2.6 lower than Our research contribute planning greening Wuhan promote sustainable city.