Thermal effect analysis of urban land use based on network structure: a case study of Shenyang

Wengang Li; Zhiwei Xie; Lijun Shen; Bo Peng

doi:10.1117/12.3029835

21 June 2024 Thermal effect analysis of urban land use based on network structure: a case study of Shenyang

Wengang Li, Zhiwei Xie, Lijun Shen, Bo Peng

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 1316717 (2024) https://doi.org/10.1117/12.3029835
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

In order to understand the impact of land use change on the surface thermal environment and solve the urban heat island effect, this paper designs and implements an urban land use thermal effect analysis method based on network structure and fractal theory. First, the classification of urban land use and the inversion of urban surface temperature are completed. After that, fractal theory is innovative applied to the study of urban thermal environment, and the complex network theory is introduced into the analysis of urban land use thermal effect. In this paper, Shenyang, Liaoning Province, China, was selected as the research area, and Landsat8 data were used in 2013, 2017 and 2020. The results show that from 2013 to 2017, the higher built-up area density, the higher urban temperature. The higher forest, water and plowland density, the lower urban temperature. The correlation between land surface temperature and NDVI (Normalized Vegetation Index) is negative, while the correlation between land surface temperature and NDBI (Normalized built-up Area Index) is positive.

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

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Wengang Li, Zhiwei Xie, Lijun Shen, and Bo Peng "Thermal effect analysis of urban land use based on network structure: a case study of Shenyang", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 1316717 (21 June 2024); https://doi.org/10.1117/12.3029835

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KEYWORDS

Thermal effects

Landsat

Remote sensing

Analytical research

Fractal analysis

Atmospheric corrections

Near infrared

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