Document Type : Research Paper
Authors
1 Isfahan Uni
2 Master of Urban Planning, Hakim Sabzevari University, Sabzevar, Iran
Abstract
This research aims to evaluate the relationship between time series of land use changes and land surface temperature in desert cities in Yazd using time series satellite images of 1987-2022 in Google Earth Engine system. To calculate (LST), using Landsat 5, 7 and 8 thermal band data in these two time periods, in addition to the supervised classification method, from the separate window algorithm method, and to calculate the vegetation cover from the normalized index (NDVI) has been used. The results of the supervised classification method showed; By comparing the changes in land use area between 2022 and 1987, it was determined that in 1987, desert areas had the largest area with (1815/1416) square kilometers, and in 2022, residential areas had the largest area with (74/1861) square kilometers. The lowest area in 1987-2022 is related to garden and forest lands with (34.4934) square kilometers and in 2022 with (2.5281) square kilometers. The amount of vegetation changes in 1987 with (11.9916) square kilometers, compared to 2022 with (13.0455) square kilometers, had the lowest area. The results of temperature changes showed that the maximum and minimum temperature of 1987 was equal to (60-61) degrees Celsius, compared to 2022 with values of (19-33) degrees Celsius, there were temporal and spatial changes. Therefore, by examining the average annual temperature and precipitation in different seasons of the year until the horizon of 2045, it was determined that with the increase in annual temperature in the future, this city will face a decrease in rainfall in different rainy seasons of the year. Therefore, the highest temperature occurred in the spring season and the lowest rainfall occurred in the autumn season.
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