Volume 11, Issue 2 (12-2025)                   KJES 2025, 11(2): 461-487 | Back to browse issues page


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Jireh Nezhadian M, Rastegari Mehr M, Shakeri A. Study of seasonal variations of heat islands in Isfahan County using processing of MODIS and TIRS sensor images. KJES 2025; 11 (2) :461-487
URL: http://gnf.khu.ac.ir/article-1-2970-en.html
1- Kharazmi University
2- Kharazmi University , rastegar.m@khu.ac.ir
Abstract:   (303 Views)
The Urban Heat Island (UHI) phenomenon, a significant outcome of urbanization and industrialization, leads to elevated land surface temperatures in urban areas compared to their surroundings. This study investigates the seasonal variations of Land Surface Temperature (LST) and the intensity of the Surface Urban Heat Island (SUHI) in Isfahan County using data from MODIS and TIRS sensors. Satellite images from 2018 to 2023 were retrieved and processed within the Google Earth Engine (GEE) environment. Three different methods—based on temperature differences between urban areas and rural, agricultural, and water body zones—were applied to calculate SUHI intensity. The results show that SUHI intensity is higher during the nighttime, whereas an Urban Cool Island effect is observed during the daytime, underscoring the significant role of bare soils and wetlands in creating a thermal inversion of the heat island. Vegetation cover, albedo, and elevation were identified as the most important biophysical variables affecting land surface temperature, with significant correlations found between these variables and LST. The highest vegetation cover occurs in spring, contributing to temperature reduction through evapotranspiration. Additionally, increased albedo reduces heat absorption by the land surface. The findings highlight the prominent role of thermal interactions among urban, rural, and aquatic areas in shaping SUHI and emphasize the importance of managing vegetation cover and high-albedo materials to mitigate the phenomenon's negative impacts. In semi-arid cities such as Isfahan, the urban heat island effect may manifest as an urban cool island during the day and a heat island at night; therefore, precise modeling requires remote sensing data from both day and night, along with consideration of accuracy-related indices.
 
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Type of Study: Original Research | Subject: Environmental Geology
Received: 2025/10/12 | Accepted: 2025/12/18 | Published: 2025/12/31

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