Monitoring of Land Surface Temperature in Surabaya, Indonesia from 2013-2021 Using Landsat-8 Imagery and Google Earth Engine

J. Maulana*, F. Bioresita

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Surabaya is one of the big cities in Indonesia which experiences population increase every year due to urbanization. Population growth can cause changes in land cover such as vegetation into built-up areas and an increase in energy consumption. Changes in land cover and increased in energy consumption resulted changes in the average temperature of urban areas. This change can disrupt health and thermal comfort. Temperature changes can be analyzed using remote sensing technology by observing land surface temperature (LST). LST observations can be carried out using Landsat-8 OLI/TIRS image. Landsat-8 has ability to record data continuously and has good resolution for thermal analysis. Image data processing was performed using Google Earth Engine (GEE) due to its advantage in computing big data without the need for good computer specifications. GEE can perform time series data calculations so that the results obtained will be more numerous and better The results showed that the temperature in the city of Surabaya tends to change every year with an average temperature of 31?. The mean LST in Surabaya City decreased significantly in 2016 by 4? but increased again in 2017 with an increase of 1.5?. In the following years, the LST value in the city of Surabaya continued to increase with a constant increase every year. There were more than 20 districts which have temperatures above average. Those districts were located in the center of Surabaya city extending from north to south. In the other side, the districts in the west and east of Surabaya have temperatures below average. There were 17districts experienced a decrease in temperature and 14 districts experienced an increase in temperature. Benowo, Tandes, and Pakal districts were the areas that experienced an average temperature increase. Meanwhile, the districts that experienced the highest decrease were Tegalsari, Wonokromo, and Genteng.

Original languageEnglish
Article number012027
JournalIOP Conference Series: Earth and Environmental Science
Volume1127
Issue number1
DOIs
Publication statusPublished - 2023
Event7th Geomatics International Conference, GEOICON 2022 - Virtual, Online
Duration: 26 Jul 2022 → …

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