Spatial Assessment of Land Surface Temperature Trends in Different Climates of Khorasan Razavi Province Using Aqua Satellite Imagery (from 2003 to 2023).

Document Type : Original Article

Authors

• Mojtaba Goldani ¹
• Hossein Etemadfard ¹
• Ali Rezaee ²

¹ Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad.

² Department of Water Science and Engineering, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

10.22067/jfcei.2024.88361.1302

Abstract

Industrialization and the escalated consumption of fossil fuels have resulted in global warming, which has caused alterations to nature, climate, and human life. The long-term monitoring and examination of parameters associated with global warming, particularly land surface temperature (LST), using advanced technologies like remote sensing, can contribute to a more comprehensive and precise understanding of this phenomenon. Solar energy during the daytime, raising its temperature, while dissipation of energy gradually occurs during the night, leading to a decrease in temperature. Here, a collection of images related to the LST was amassed over 20 years, from 2003 to 2023, for Khorasan Razavi Province in northeastern Iran, utilizing the MODIS data. These images were averaged weekly. Subsequently, the surface temperature trend encompassing all climates in the region was determined through linear regression. The findings demonstrate a general increase in the LST index during both daytime and nighttime; however, the rise in surface temperature during the daytime exhibits a more substantial increase compared to nighttime. The province is predominantly characterized by arid and semi-arid climates, with an average rise in surface temperature during the day of 0.80°C and 1.07°C per decade, respectively, and during the night of 0.55°C and 0.59°C per decade. Moreover, it was observed that there is no significant correlation between climate and surface temperature trends. The daytime LST trend in areas with agricultural land use displays a decreasing pattern, whereas the nighttime LST trend does not seem to be influenced by agricultural land use or vegetation cover.

Keywords

• Aqua
• Climate
• Khorasan Razavi
• LST
• MODIS

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