Investigating the role of land use change - land cover in the temperature changes of Khersan Watershed

Subject Areas : Natural resources and environmental management

massoud Asoudeh ¹ , maryam morovati ^{2 *} , aref saberi ³

1 - assessment and land use planning, Faculty of Agriculture & Natural Resources, Ardakan University, Iran
2 -
3 - Ph.D. Department of Watershed Science and Engineering, Sari University of Agricultural Sciences and Natural Resources

Received: 2024-09-07 Accepted : 2024-11-25 Published : 2025-10-11

Keywords: Earth surface temperature, Khersan basin, inverse of Planck's function, heat island,

Abstract :

The present research has been devoted to the evaluation of land use changes in temperature fluctuations and thermal islands in Khersan watershed of Yasouj city in the years 2010,2014,2018 and2022;First, land use maps, vegetation index and LSD were calculated using Google Earth Engine. To prepare temperature and NDVI maps, Landsat 7-8 images with a spatial accuracy of 30 meters were used, and land use maps were separated from Sentinel images with an accuracy of 10 meters. and barren lands and water resources have the lowest percentages of2.2 and4.4 percent, respectively. The Kappa coefficient and the validation result for this map showed that 0.87 and 0.5% were accurate, so the closer the numbers are to one, the better the accuracy of the work.NDVI index values showed that in 2018 and 2010the vegetation cover was suitable and in the other two years 2014 and 2022it was shown as average;The maximum pixel value that is vegetation is0.74 and the minimum pixel value is -0.49. The values of the LSD index also showed that the temperature intensity in 2018 was lower than the other three years.The maximum temperature this year was32.98 degrees Celsius. The maximum temperature measured in Khersan watershed in2022 was equal to45.22 degrees Celsius;By examining the correlation between land use and temperature with the surface of the valleys (Pvalue<0.05),it was found that agricultural lands have the highest correlation with a value of0.724, and the lowest is barren and bare lands with a value of0.305 in2014.

 

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