Paper
23 January 2024 Analysis of urban heat island effect based on remote sensing monitoring of ground objects changed
Zhaoyang Li, Pengzhen Ren, Guobing Wang
Author Affiliations +
Proceedings Volume 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023); 129782C (2024) https://doi.org/10.1117/12.3020962
Event: 2023 4th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2023), 2023, wuhan, China
Abstract
Satellite remote sensing has been widely used for urban expansion analysis and land cover change monitoring due to its advantages of large coverage and short revisit cycle. With the rapid development of urban construction, urban heat island effect becomes more obvious. It is of great significance to use remote sensing technology to monitor urban temperature and analyze the internal causes of heat island effect. Zhengzhou was selected as a case study, and uses remote sensing images from March and September 2020-2022 to invert the temperature of this area. After separating the temperature changes caused by normal climate, the influence of land cover type changes on heat island effect is analyzed by interpreting and comparing different land cover types. The results show that land cover type changes have an important impact on urban heat island effect. The distribution of vegetation and water bodies can alleviate the rise of urban surface temperature to some extent, while high-density built-up areas have more significant surface temperature increase. However, through comparative studies of remote sensing images, it is found that light-colored building materials with high reflectivity have obvious improvement on urban heat island effect.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Zhaoyang Li, Pengzhen Ren, and Guobing Wang "Analysis of urban heat island effect based on remote sensing monitoring of ground objects changed", Proc. SPIE 12978, Fourth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2023), 129782C (23 January 2024); https://doi.org/10.1117/12.3020962
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KEYWORDS
Thermal effects

Remote sensing

Temperature metrology

Vegetation

Satellites

Land cover

Landsat

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