Utilization of Multitemporal Landsat Images for Analysis Urban Heat Island Based on Google Earth Engine in Cimahi City

Syahrial Fahmi*  -  Universitas Pendidikan Indonesia, Indonesia
Diki Wahyudi  -  Universitas Pendidikan Indonesia, Indonesia
Rayana Estu Putra  -  Universitas Pendidikan Indonesia, Indonesia

(*) Corresponding Author
DOI: 10.30659/jpsa.v21i1.32304

Supp. File(s): common.other
Cimahi City is physically part of the Bandung-Cimahi core city conurbation of the system of cities in the Bandung City Basin Region so has high development activity. This condition causes an increase in the surface temperature of Cimahi City, especially in the downtown area and triggers the Urban heat island phenomenon. This research was conducted to map multi temporal spatial changes in the vegetation index (MSAVI) and land surface temperature (LST) in Cimahi City in 2015, 2019 and 2023 and to analyze their relationship to the phenomenon and the widespread distribution of urban heat island using Landsat 8 imagery by integrating cloud techniques. computing Google Earth Engine. The results of surface temperature (LST) were correlated with vegetation density (MSAVI) using a simple regression test to determine how much influence changes in vegetation density had on surface temperature (LST). The distribution of urban heat islands was obtained from the classification of LST processing with urban heat island threshold values. The results showed that there was an increase in the distribution area of the urban heat island phenomenon with a total area of urban heat island increasing by 1319.94 Ha in 2015, 3389.04 Ha in 2019, and 3634.04 Ha in 2023. The areas that are dominated by urban impacts The heat island occurred in South Cimahi District with an area affected of 1440.43 Ha.

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