نوع مقاله : پژوهشی
نویسندگان
1 استاد ژئوموروفولوژی گروه سنجش از دور و سیستم اطلاعات جغرافیایی، دانشکده برنامه ریزی و علوم محیطی دانشگاه تبریز، تبریز ،ایران
2 دانشجوی دکترای سنجش از دور و سیستم اطلاعات جغرافیایی، دانشکده برنامه ریزی و علوم محیطی دانشگاه تبریز تبریز، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The Earth's surface temperature is of great importance as one of the key factors in controlling the biological, chemical and physical processes of the Earth. The Earth's surface temperature not only has a direct impact on natural processes such as evaporation, gas exchange and the water cycle, but also plays a fundamental role in studying climate change and weather patterns. In this study, the relationship between the Earth's surface temperature and vegetation cover and soil surface moisture in the land use of Kermanshah County was investigated. For this purpose, Landsat 8 satellite images with OLI and TIRS sensors were used in the years 2014, 2019 and 2024.After performing the image processing steps, the land use map was extracted using the supervised classification method in the Google Earth Engine environment using the SVM method in seven classes for a ten-year period. Also, the land surface temperature was obtained with a discrete window algorithm and its relationship with vegetation cover and surface moisture was investigated using statistical methods. The classification accuracy of the SVM method, by examining ground data and satellite images from 2014, 2019, and 2024, was 0.96, 0.97, and 0.97, respectively, in terms of the Kappa statistical coefficient, and 0.972, 0.970, and 0.977, respectively, based on the overall accuracy.separately and bands 3, 4, and 5 from the OLI sensor of the Landsat 8 satellite are used as combined layers. First, by converting the digital numerical values to the spectral radiance of the atmosphere or TOA, and then TB is calculated.
کلیدواژهها [English]
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