Characterization of Multispectral Satellite Image for Land Surface Temperature Interpretation
Annisa Kurnia Shalihat1, Yogie Ardiwinata2
1Annisa’ Kurnia Shalihat*, Department of Survey and Mapping, Indo Global Mandiri University, Palembang, Indonesia.
2Yogie Ardiwinata, Urban and Regional Planning, Diponegoro University, Semarang, Indonesia.
Manuscript received on September 14, 2019. | Revised Manuscript received on September 22, 2019. | Manuscript published on October 30, 2019. | PP: 3535-3538 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2682109119/2019©BEIESP | DOI: 10.35940/ijeat.A2682.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The increase in population is of course also accompanied by the development process. Conversion of land use from the vegetation area to non-vegetation, such as settlements for example will affect the surface temperature in the area. In addition, it will directly or indirectly affect the occurrence of global warming. Information about soil surface temperature needs to be known. Given that SPT as a factor that affects global climate change. To avoid urban heat, information about SPT is needed. Whereas in this study an identification process was carried out by utilizing thermal waves (thermal bands) found in Lands at 8. The identification process was carried out by the conversion method Algorithms produced from bands 10 and bands on lands at satellite images 8. The results of the research were high category was interpreted at most in the 2016 recording year with the majority distribution in urban areas, namely Kemuning District, Ilir Timur I District and Bukit Kecil District.
Keywords: Land surface temperature, Urbanization, Remote sensing.