Using Google Earth Engine (GEE), Landsat 8 and Sentinel-2 data were analyzed to invert surface temperature and identify land cover types through a random forest algorithm. By analyzing data, investigated the impact of different types of land cover on the urban thermal environment. The results indicated that although the average temperature did not change significantly from 2018 to 2020, the range between the average maximum and minimum temperatures widened, leading to an increasingly evident urban heat environment. At the same time, lower temperature zones were mainly distributed in farmland, forest land, and other areas with high vegetation coverage and near water bodies. In contrast, moderate, high, and higher- temperature zones were predominantly found in built-up and unused lands with low vegetation coverage. In recent years, Xuzhou has transitioned from a mining-dependent city to a renewable-resource city, with most abandoned mines being reclaimed as ecological parks, farmland, etc. Therefore, the area of cultivated land increased by 21.9% from 2018 to 2020. Through our research, it is suggested that future efforts could be intensified to reclaim bare lands, such as abandoned mines, into vegetated lands, in order to alleviate the urban heat phenomenon in Xuzhou. These research findings can serve as a scientific basis for improving the urban thermal environment and provide a reference for Xuzhou to formulate eco-city construction strategies.
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