The Impact of Built-Up Area On Land Surface Temperature Derived From Cloud-Computing Landsat 8 Imagery

Abstract

Urbanization is needed to ensure a higher quality of life for the rapidly growing population worldwide. Changing the land surface is a significant effect of growth and causes an increase in the land surface temperature (LST). This research used remote sensing techniques to evaluate the impact between built-up area and LST in Bandung City, Indonesia in 2014 and 2019. The methodology includes data collection derived from Landsat 8 imagery, pre-processing, calculated the value of built-up area generated through the NDBI algorithm based on cloud-computing platform Google Earth Engine (GEE). The result showd the distribution of LST and density of built-up was increased from 2014 to 2019. The density of built-up had increased by 4.47 %, and the density of high buildings had increased by 0.06 %, The coefficient of determination R² between NDBI and LST in 2014 was 0.82 and 0.84 in 2019, which means that the potential of the built-up density to describe the surface temperature was 82.4 % in 2014 and 84.2 % in 2019. It can be concluded that the NDBI building density value and the LST soil surface temperature value have a very strong correlation.