Calculation of daily land surface temperature values using Google Earth Engine

Abstract

In parallel with urbanization, the temperature in dense residential areas is observed to be higher than in rural areas around the city. Urban areas being warmer than the surrounding natural areas is defined as an urban heat island. With the use of thermal bands in remote sensing platforms, the determination of Land Surface Temperatures (LST) and the spatial distribution of related parameters have begun to be represented better than the old methods. This data, obtained from the images detected by satellites, has enabled them to be used as a data source in a wide variety of applications due to its accessibility and coverage of large areas. In this study, LST maps and temperature tables within the provincial borders of Şanlıurfa were created by using the thermal band of a total of 9 Landsat 8 satellite images belonging to September of each year between 2013 and 2021. Finally, Normalized Difference Vegetation Index (NDVI) images were created from the satellite images and the correlation between them was examined.