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Predicting of Land Surface Temperature Distribution in Freetown City, Sierra Leone by Using Polynomial Curve Fitting Model

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Document pages: 14 pages

Abstract: Global warming has attracted much concern about the worldwide organization, civilsociety groups, researchers, and so forth because the worldwide surfacetemperature has been expanding. This investigation intends to assess andcompare the ability of a combination of land cover indices to predict thefuture distribution of land surface temperatures in Freetown using thePolynomial model analysis. Landsat satellite images of 1988, 1998, 2000, 2010, and2018 of the Freetown Metropolitan zone were utilized for analysis. Theinvestigation had adopted two land covers indices, Modification of normalizeddifference water index and Urban Index (UI) (e.g., MNDWI and UI) and applied amulti regression equation for forecasting the future LST. The stimulationresults propose that the development will be accompanied by surface temperatureincreases, especially in Freetown’s western urban area. The temperatureprevailing in the west of the metropolitan area may increase in the citysomewhere in the range from 1988 to 2018. Additionally, the results of the LST prediction show thatthe model is perfect. Our discoveries can be represented as a helpful devicefor policymakers and community awareness by giving a scientific basis forsustainable urban planning and management.

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