Paper
15 November 2023 Regulation of surface thermal environment by different land cover types based on Google Earth engine
Yanmei Xie, Caihong Ma, Yindi Zhao, Xiaolin Hou
Author Affiliations +
Proceedings Volume 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023); 128151N (2023) https://doi.org/10.1117/12.3011209
Event: International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 2023, Kaifeng, China
Abstract
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.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Yanmei Xie, Caihong Ma, Yindi Zhao, and Xiaolin Hou "Regulation of surface thermal environment by different land cover types based on Google Earth engine", Proc. SPIE 12815, International Conference on Remote Sensing, Mapping, and Geographic Systems (RSMG 2023), 128151N (15 November 2023); https://doi.org/10.1117/12.3011209
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KEYWORDS
Land cover

Random forests

Image processing

Surface air temperature

Thermal remote sensing

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