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DOI | 10.3390/atmos15020161 |
Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate | |
Ghanghermeh, Abdolazim; Roshan, Gholamreza; Asadi, Kousar; Attia, Shady | |
发表日期 | 2024 |
EISSN | 2073-4433 |
起始页码 | 15 |
结束页码 | 2 |
卷号 | 15期号:2 |
英文摘要 | Research on the temporal and spatial changes of the urban heat island effect can help us better understand how urbanization, climate change, and the environment are interconnected. This study uses a spatiotemporal analysis method that couples the Emerging Hot Spot Analysis (EHSA) technique with the Mann-Kendall technique. The method is applied to determine the intensity of the heat island effect in humid subtropical climates over time and space. The data used in this research include thermal bands, red band (RED) and near-infrared band (NIR), and Landsat 7 and 8 satellites, which were selected from 2000 to 2022 for the city of Sari, an Iranian city on the Caspian Sea. Pre-processed spectral bands from the 'Google Earth Engine' database were used to estimate the land surface temperature. The land surface temperature difference between the urban environment and the outer buffer (1500 m) was modeled and simulated. The results of this paper show the accuracy and novelty of using Emerging Hotspot Analysis to evaluate the effect of vegetation cover on the urban heat island intensity. Based on the Normalized Difference Vegetation Index (NDVI), the city's land surface temperature increased by approximately 0.30 degrees C between 2011 and 2022 compared to 2001 to 2010. However, the intensity of the urban heat island decreased during the study period, with r = -0.42, so an average -0.031 degrees C/decade decrease has been experienced. The methodology can be transferred to other cities to evaluate the role of urban green spaces in reducing heat stress and to estimate the heat budget based on historical observations. |
英文关键词 | remote sensing; urban heat island; land surface temperature; mapping; vegetation; urban cooling |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:001171770700001 |
来源期刊 | ATMOSPHERE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/300443 |
作者单位 | Golestan University; University of Liege |
推荐引用方式 GB/T 7714 | Ghanghermeh, Abdolazim,Roshan, Gholamreza,Asadi, Kousar,et al. Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate[J],2024,15(2). |
APA | Ghanghermeh, Abdolazim,Roshan, Gholamreza,Asadi, Kousar,&Attia, Shady.(2024).Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate.ATMOSPHERE,15(2). |
MLA | Ghanghermeh, Abdolazim,et al."Spatiotemporal Analysis of Urban Heat Islands and Vegetation Cover Using Emerging Hotspot Analysis in a Humid Subtropical Climate".ATMOSPHERE 15.2(2024). |
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