Analysis of correlation between urban heat islands (UHI) with land-use using sentinel 2 time-series image in Makassar city

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Abstract

In this study, to analyze the value of the correlation between Urban Heat Island and land-use variables. Y variable used is temperature and some variables X in the form of land use variants, namely road network area (km2), population density / ha, building area (km2), and image index data from sentinel2 and Landsat 8 time-series images in the form of satellite image index namely the normalized difference vegetation index (NDVI), the Normalized Difference Water Index (NDWI) and Moisture Indices (MI) in Makassar City. The method used in this study is the Pearson correlation coefficient to determine the variables that influence the increase in Urban Heat Island in Makassar City. Based on the results of the correlation analysis obtained, variables that influence Urban Heat Islan are Moisture Indices (MI), which have a significant correlation in increasing Urban Heat Island, where the correlation value between temperature and Moisture Indices (MI) is R = - 0.766. Another variable is the road area, where the correlation value R is - 0.655.

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Rauf, S., Pasra, M. M., & Yuliani. (2020). Analysis of correlation between urban heat islands (UHI) with land-use using sentinel 2 time-series image in Makassar city. In IOP Conference Series: Earth and Environmental Science (Vol. 419). Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/419/1/012088

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