Document Type : Articles extracted from Thesis
Authors
1
Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Iran.
2
Department of Environmental Sciences, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences nd Natural Resources
3
Gorgan University of Agricultural Sciences and Natural Resources
10.30488/gps.2024.426023.3696
Abstract
Land surface temperature is essential in many fields, such as global climate changes, hydrological, agricultural, and land use. The relationship between land surface temperature and land use, especially vegetation, is one of the important issues in this field. This research aims to estimate the land surface temperature using the method of Radiative Transfer Equations and to investigate its locative heterogeneity in the city of Karaj. In this research, by analyzing the Landsat 8 satellite data, the land surface temperature map was extracted using the Radiative Transfer Equation (RTE) algorithm, and the land use/ cover map was extracted using the Support Vector Machine method. Investigating the contribution of each land use in temperature classes in Karaj city showed that bare lands with 43.04°C had the highest role in increasing the temperature of the north and southwest of Karaj. The gardens and green spaces land use with lower temperatures (27.08-30.31 °C) had the highest role in decreasing the temperature of central areas. Also, the results showed that high residential areas and roads with tree green belts around them have better conditions in terms of thermal comfort. In addition, the results revealed the importance of urban green spaces in regulating the earth's surface temperature, especially in urban areas. Therefore, due to the increasing urbanization and the importance of achieving favorable temperature conditions, the creation and development of green space in urban development plans by urban planners and designers can lead to the city's sustainability.
Keywords:
Land surface Temperature,
Normalized Difference Vegetation Index,
Landuse/ cover,
Radiative Transfer Equation.
Keywords
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