Abstract
Land surface temperature refers to the analysis of heat on the surface of the earth. It is identified by measuring the surface using Thermal Infrared wavelength, which includes areas such as rooftops, building tops, water bodies, and ice formations. This research aims to examine land surface temperature and land use using satellite data spanning 5 years (2019-2023). The process consists of three primary stages: 1) Analyzing land surface temperature with data from Sentinel-3 Satellite through the Supplemental Nutrition Assistance Program (SNAP) initiative, 2) Employing data from Sentinel-2 Satellite for land-use classification using supervised classification with maximum likelihood classifier, categorizing land-use into water, forest, urban, and agriculture, 3) Conducting accuracy assessment. The findings from the 5-year research revealed that urban areas exhibit the highest average land surface temperature, with forests, agriculture, and water areas following in descending order.
Published Version
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