Abstract
Land surface temperature is a study of the heat on the earth’s surface; it can be recognized by contacting the surface from Thermal Infrared wavelength which can be the roof, the top of buildings, water, or ice. Therefore, land surface temperature and air temperature are not the same. This study aims to analyze land surface temperature and land-use from Sentinel-2 Satellite data. The procedure is divided into 3 main steps: 1) Using data from Sentinel-3 Satellite to analyze temperature by using The Supplemental Nutrition Assistance Program (SNAP) program, 2) Land-use classification by using data from Sentinel-2 Satellite in Supervised Classification in the form of Maximum Likelihood Classifier. This study has classified land-use into 4 types: water, forest, urban, and agriculture, 3) Accuracy assessment. The result found that the land surface temperature of urban areas has the highest average land surface temperature, followed by forest, agriculture, and water.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.