Study on the urban heat island effect based on quantitative remote sensing technology

Yunju Nie; Chengzhuo Tong; Penggen Cheng; Xiaoyong Chen; Mengyu Zhou

doi:10.1117/12.2220615

9 December 2015 Study on the urban heat island effect based on quantitative remote sensing technology

Yunju Nie, Chengzhuo Tong, Penggen Cheng, Xiaoyong Chen, Mengyu Zhou

Proceedings Volume 9808, International Conference on Intelligent Earth Observing and Applications 2015; 980805 (2015) https://doi.org/10.1117/12.2220615
Event: International Conference on Intelligent Earth Observing and Applications, 2015, Guilin, China

Abstract

In recent years, the effect of urban heat island (UHI) is increasingly obvious with moving forward in further urbanization process, which has become one of the prominent issues of environment. The image data of Nanchang city supplied by Landsat 5 Thematic Mapper (TM) in September 2006 is used in this paper, and the land surface temperature (LST) over the same period has been retrieved by using a mono-window algorithm based on remote sensing technology. The classification of LST is subsequently fulfilled by the method of proper density cutting. Characteristics of intensity and spatial distribution of UHI effect in Nanchang, as well as its relationships with land use type and vegetation coverage degree (VCD) are discussed in detail. The result shows that the phenomena of UHI are significantly presented in urban area with an inhomogeneous distribution, and the degree of influence of UHI depends on types of land uses. The intensity of UHI effect has a significant negative linear correlation with normalized difference vegetation index (NDVI). It is deduced that suitably optimizing land use types and raising VCR are obvious and effective ways to reduce UHI.

Citation Download Citation

Yunju Nie, Chengzhuo Tong, Penggen Cheng, Xiaoyong Chen, and Mengyu Zhou "Study on the urban heat island effect based on quantitative remote sensing technology", Proc. SPIE 9808, International Conference on Intelligent Earth Observing and Applications 2015, 980805 (9 December 2015); https://doi.org/10.1117/12.2220615

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KEYWORDS

Vegetation

Remote sensing

Thermal effects

Earth observing sensors

Landsat

Temperature metrology

Atmospheric corrections

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