Study on the Relationship between Vegetation Cover and Land Surface Temperature Based on Remote Sensing - A Case Study of Changzhou, China
DOI:
https://doi.org/10.61173/jb2f2016Keywords:
vegetation cover, land surface temperature, Changzhou CityAbstract
With the acceleration of urbanization, the environmental problems caused by the urban heat island effect are becoming increasingly noticeable. Investigating the connection between land surface temperature and vegetation cover is crucial to reducing the urban heat island effect. This paper uses Landsat data from 2021 to 2024 in the main urban region of Changzhou City, Jiangsu Province, China, as the study area to evaluate the geographical and temporal evolution of vegetation cover and land surface temperature and their coupling connection. The results show that the annual average value of vegetation cover in the main urban region of Changzhou City from 2021 to 2024 is 0.6025, with an overall upward trend, and the spatial pattern is characterized by a ‘ring-like’ distribution with a high level in the periphery of the city and a low level in the heart of the city. In addition, the land surface temperature showed a decreasing trend in the same period, and the middle of Wujin District and the outskirts of Xinbei District were the areas with the highest temperatures, while the sub-medium-temperature region appeared in the arable land area with good vegetation cover and around the water body. Lastly, in Changzhou City's central urban region, there is a highly substantial negative correlation between vegetation cover and land surface temperature; for every 10% increase in plant cover, the land surface temperature drops by 0.20 to 0.49℃.
References
[1] Tingting Yin. Study on vegetation cover dynamics in mountainous and hilly regions of central-south Shandong Province based on dendrochronology [D]. Shandong University, 2023.
[2] Di Zhou, Zhen Feng, Ruizhen He, et al. Relationship between Heat Island Effect and Vegetation in Zhengzhou City Based on Time Series Remote Sensing [J/OL]. College of Landscape Architecture and Art, 1-13 [2025-04-17].
[3] Goward S N, Xue Y, Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: An exploration with the simplified simple biosphere model [J]. Remote sensing of environment, 2002, 79(2-3): 225-242.
[4] BENOUMELDJADJ M, RACHED-KANOUNI M, CHOUITER N, et al. EXPLORING THE ASSOCIATION BETWEEN VEGETATION COVER AND LAND SURFACE TEMPERATURE IN CONSTANTINE: A COMPARATIVE ANALYSIS [J]. 2023.
[5] Zhanhai Jia. Study on Spatial-Temporal Patterns of Impervious Surfaces in Beijing and Their Thermal Environmental Effects [D]. Chengdu University of Technology, 2020.
[6] Taiguo Deng, Xiasong Hu, Changyi Liu, et al. Dynamic monitoring of vegetation coverage in alpine mining dumps based on Landsat imagery [J]. Express Water Resources & Hydropower Information, 2025, 46(04):107-113.
[7] Ministry of Water Resources of the People’s Republic of China. Standards for classification and gradation of soil erosion: SL 190-2007.
[8] Songlin Chen, Tianxing Wang. Comparison Analyses of Equal Interval Method and Mean-Standard Deviation Method Used to Delimitate Urban Heat Island [J]. Journal of Geo- Information Science, 2009, 11(02):145-150.
[9] Zimeng Liu, Xinguang He. Seasonal Variations of Water Cooling Island Effect in Changsha City and Its Influencing Factors [J]. Remote Sensing Information, 2022, 37(05):85-92.
[10] Wenhou Wu, Xinije Wang, Ruifen Huang. Study on urban heat islands in Changzhou City based on remote sensing data [J]. Journal of Nanjing Forestry University Natural Science Edition, 2017, 41(05):185-190.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by the authors.
This work is licensed under a Creative Commons Attribution 4.0 International License.
