Theoretical Framework Construction of Remote Sensing Image Processing Technology in The Study of Urban Heat Island Effect

DOI: https://doi.org/10.62517/jbdc.202401202

Author(s)

Xiaoli Chai*

Affiliation(s)

The Open University of JiLin, ChangChun, JiLin, China *Corresponding Author

Abstract

This study aims to construct a theoretical framework to discuss the application of remote sensing image processing technology in the study of urban heat island effect. Urban heat island effect refers to the phenomenon that the temperature of urban area is significantly higher than that of surrounding rural area, which has become an important problem in the process of global climate change and urbanization. Remote sensing technology provides a powerful tool for in-depth understanding and effective response to this phenomenon. This study first reviews the existing remote sensing image processing technologies, including multispectral and hyperspectral imaging, thermal infrared imaging, laser radar (LiDAR), and analyzes the application status of these technologies in the study of urban heat island effect. Then, this paper puts forward a comprehensive theoretical framework, combining the key steps of remote sensing data acquisition, image preprocessing, feature extraction, classification and segmentation, and change detection, systematically describes how to use remote sensing image processing technology to monitor and analyze urban heat island effect. In the research process, this paper adopts the methods of literature review and case analysis, and extracts the core elements and key technologies of remote sensing image processing technology in the study of urban heat island effect by systematically combing the relevant research results at home and abroad. The research results show that remote sensing image processing technology has significant advantages in the spatial distribution characteristics, time change rules, and analysis of influencing factors of urban heat island effect, and can provide high-precision and high-timeliness monitoring data, and provide scientific basis for urban planning and environmental management. The theoretical framework of this paper provides guidance for future empirical research, and provides a reference for policy makers and urban managers, which has important academic value and practical application significance.

Keywords

Remote Sensing Image Processing Technology; Urban Heat Island Effect; Theoretical Framework; Spatial Distribution Characteristics; Environmental Management

References

[1] GAO Liang. Extraction and analysis of remote sensing information of heat island effect in Shenyang urban area [J]. Urban Construction Theory Research: Electronic Edition, 2013, 000(007):1-6. [2] Zhong J. Heat island characteristics analysis of Yangtze River Delta urban agglomeration based on MODIS [D]. Shanghai Normal University, 2015. [3] Xu Meng, Li Yachun. Application of urban heat island effect in fog monitoring of Shanghai-Nanjing Expressway [J]. Remote Sensing Information, 1999. [4] Li Guosong. Research on mitigation strategy of urban heat island effect in Harbin based on Remote sensing technology [D]. Harbin Institute of Technology, 2014. [5] Xu Jinhong. Analysis of heat island effect in Guangzhou based on Remote sensing technology [J]. Yunnan Geographical Environment Research, 2008. [6] Huang Hongye, Liu Xia, Chen Baoshu. Remote sensing study of urban heat island in Changzhu-tan Experimental Area based on CBERS-1 IRMSS data [J]. Land and Resources Guide, 2012, 9(10):3. [7] Yang Y J, Wang L B, Huang Y, et al. Reference station selection method for urbanization effect research: Landsat remote sensing method [C]// the 34th Annual Meeting of the Chinese Meteorological Society S8 Observation to Promote urban meteorological development -- Proceedings of the 6th Urban Meteorological Forum. 2017. [8] Liu X. Application of remote sensing technology in urban thermal environment in mountainous areas [M]. College of Land and Resources Engineering, 2009. [9] Zhang Cuifeng, Wan Ji, Luo Hanzhi, Yang Bilui. Analysis of urban heat island effect characteristics based on remote sensing technology in Changsha [J]. Urban Survey, 2022(5):90-95. [10] Pan Pan, Li Fengxiu, Zhu Yeyu, et al. Construction of urban ventilation corridor in Pingdingshan City based on wind and thermal environment assessment [J]. Climatic and Environmental Research, 29(3):1-14[2024-05-27]. [11] Wei Qing, Chen Jinwen. Research on highway survey Method based on high-resolution Remote Sensing image processing [J]. Automatic Instrumentation, 2024(003):045. [12] Lin M L, Xia Q Hang, Xie P, et al. Application status and implications of satellite remote sensing technology in the field of health. Chinese Journal of Public Health, 2024, 40(5):1. (in Chinese) [13] Wang Yingqi, Huang Huiping, Zhu Wenlu, et al. Construction and application of high resolution remote sensing ecological index [J]. Journal of Remote Sensing, 2024. [14] Wu Jimei. Application of Gaofen satellite remote sensing technology in farmland non-agricultural monitoring [J]. Journal of Agricultural Engineering Technology, 2024, 44(8):68. [15] Cui N, LU X H, Wang Yan, et al. Remote sensing technology based on Faster R-CNN improved algorithm and its application in geological hazard monitoring [J]. Geology and Resources, 2023, 32(6):772-778.