Qingxiu District surface temperature changes analysis based on the remote sensing data

Xiaolei Ju; Qiyan Yan

doi:10.1117/12.3035410

10 July 2024 Qingxiu District surface temperature changes analysis based on the remote sensing data

Xiaolei Ju, Qiyan Yan

Proceedings Volume 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024); 1322328 (2024) https://doi.org/10.1117/12.3035410
Event: 2024 5th International Conference on Geology, Mapping and Remote Sensing (ICGMRS 2024), 2024, Wuhan, China

Abstract

This article takes Qingxiu District, Nanning City as a typical urban research area. Based on the Landsat 8 images of Qingxiu District in the third phase, surface temperature inversion was carried out on the three remote sensing images of the same month in 2015, 2019, and 2021. The spatial characteristics of the obtained surface temperature results were analysed. The results showed that the trend of the distribution of low temperature ranges in the research area was that the area gradually decreased. The trend of changes in the distribution of medium and low temperature ranges is that the area continues to decrease and the proportion gradually decreases, with more significant changes. The trend of changes in the distribution of intermediate temperature ranges is to first increase and then decrease. The trend of variation in the distribution of medium and high temperature ranges is constantly increasing, and the increase is extremely significant. The trend of the distribution of high temperature ranges is constantly increasing, and the increase is gradually becoming more apparent. The research area should scientifically coordinate and arrange the relationship between urban development and green area based on local policies, combined with relevant factors such as economic development, urban expansion, natural environment changes, and urbanization level, to promote the sustainable development of the city's economy and environment.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaolei Ju and Qiyan Yan "Qingxiu District surface temperature changes analysis based on the remote sensing data", Proc. SPIE 13223, Fifth International Conference on Geology, Mapping, and Remote Sensing (ICGMRS 2024), 1322328 (10 July 2024); https://doi.org/10.1117/12.3035410

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KEYWORDS

Temperature distribution

Analytical research

Temperature metrology

Remote sensing

Vegetation

Earth observing sensors

Landsat

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