Application of Remote Sensing Technology in Heat Island Effect of Major Cities in Fujian Province
DOI:
https://doi.org/10.62051/97td9x22Keywords:
Remote Sensing Technology; Urban Heat Island Effect; Fuzhou; Land Use Change.Abstract
Remote sensing technology has many advantages for the investigation of the urban heat island (UHI) effect. Firstly, remote sensing technology is real-time and dynamic, which can monitor the change of environment in real-time. Secondly, remote sensing technology has low cost and high efficiency, which saves a lot of manpower and material costs. Finally, remote sensing technology has accuracy and reliability, which provides scientific basis for environmental monitoring. Focusing on the UHI in Fujian Province, this paper introduces the data, sources and methods of remote sensing technology, and discusses the features and determinants of the UHI effect in Pingtan Island, Xiamen City and Fuzhou City. In the evaluation of land surface temperature (LST), the remote sensing image data of Landsat5 and Landsat8 are obtained firstly, and LST inversion method is used to obtain. It is found that underlying surface properties are changed by human activities, such as reclamation activities and changes in land use types, increases the mean surface temperature in Fuzhou, Xiamen and Pingtan Island, which intensifies the UHI effect. Based on the research review, relevant suggestions are put forward for city managers. In the process of urbanization, city managers should pay attention to the economy and ecology development, and take relevant measures, such as increasing the urban green space, optimizing the layout of green space, improving the property of urban underlying surface, and improving the surface reflectivity, to alleviate the UHI effect.
Downloads
References
[1] Wang Kexin, Chen Can, Bao Yunxuan, Lv Qing, Nu Kai. Spatial and temporal variation of urban heat island intensity in Jinjiang City, Fujian Province. Journal of Tropical Meteorology,2019,35(06):852-864.
[2] Summer, Li Xuan, He Dongjin, You Weibin. Spatial and temporal variation of heat island effect from reclamation activities in Pingtan Island, Fujian Province. Journal of Forestry and Environment,2019,39(05):540-547.
[3] Tian X D. Application of remote sensing technology in ecological environment monitoring and management. Leather Making and Environmental Technology, 2019,5(08):65-67.
[4] Lin P. Mechanism and prediction of urban heat island in Fuzhou. Fujian Normal University, 2019. (in Chinese)
[5] Chi Tengyu. Research on urban ecological mitigation planning of high temperature and heat wave based on remote sensing. Tianjin University, 2017.
[6] Wang Zixuan, Gao Wei. Analysis of heat island effect in Tianjin City based on land surface temperature inversion and geodetector model. Journal of Atmospheric and Environmental Optics,1-17.
[7] Qian Jianguo, Zhang Yu. Analysis on the effect of land use type change on urban heat island effect. Surveying, Mapping and Spatial Geographic Information, 2019,47(04):1-4.
[8] Jiang Yunfang, Huang Jing. Quantitative analysis of the mitigation effect of blue-green landscape structure on urban heat island. Resources and Environment in the Yangtze Basin,2022,31(09):2060-2072.
[9] Song Manshu, Qiao Shixuan, Li Yahui. Impact of urban water body on built environment based on Remote sensing and GIS: A case study of Yuelu University Town in Changsha City. Theoretical Research on Urban Construction (Electronic edition),2024,(21):43-46.
[10] Zou Z, Yan C, Yu L, Jiang X, Ding J, Qin L, Wang B, Qiu G. Impacts of land use/land cover types on interactions between urban heat island effects and heat waves. Building and Environment. 2021, 204:108138.
Downloads
Published
Conference Proceedings Volume
Section
License
Copyright (c) 2024 Transactions on Environment, Energy and Earth Sciences

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







