TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE

Surface Urban Heat Island (SUHI) is one of the most studied types of Urban Heat Island (UHI). One of the problems faced in research related to SUHI, especially those using satellite imagery, is the limited data. Many studies have used too little satellite imagery data so that trends and variability...

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Main Author: Naufal Shidiq, Rafiq
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/50069
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:50069
spelling id-itb.:500692020-09-22T11:46:30ZTEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE Naufal Shidiq, Rafiq Indonesia Final Project Surface Urban Heat Island, Land Surface Temperature, Landsat 8, Google Earth Engine INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/50069 Surface Urban Heat Island (SUHI) is one of the most studied types of Urban Heat Island (UHI). One of the problems faced in research related to SUHI, especially those using satellite imagery, is the limited data. Many studies have used too little satellite imagery data so that trends and variability from the SUHI are difficult to discern. This also happens in Indonesia, including in Jakarta. Much of the SUHI research in Jakarta uses scant satellite data to research SUHI. Therefore, in this study, the SUHI study was carried out in a relatively longer period to determine the trends and variability of the SUHI in the last few years. To do this, there is used 52 Landsat 8 satellite data from 2013 to 2019 and a tool called the Google Earth Engine to process it. The results of this study indicate that the average Land Surface Temperature (LST) of DKI Jakarta in the study period (2013-2019) tends to increase. However, the progress varies which is likely caused by the El Nino-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). In addition, local hot centers were also detected in North, Central, East, and West Jakarta, which in this study period were mostly in East Jakarta. Next, there is also obtained the average intensity of SUHI with the strongest category based on the UHI intensity classification table, namely in 2013, 2014, 2015 and 2018. Finally, the satellite image processing method using the Google Earth Engine can be used to process satellite data in a relative long periode effectively and efficiently. Therefore, this method can be used for further research. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Surface Urban Heat Island (SUHI) is one of the most studied types of Urban Heat Island (UHI). One of the problems faced in research related to SUHI, especially those using satellite imagery, is the limited data. Many studies have used too little satellite imagery data so that trends and variability from the SUHI are difficult to discern. This also happens in Indonesia, including in Jakarta. Much of the SUHI research in Jakarta uses scant satellite data to research SUHI. Therefore, in this study, the SUHI study was carried out in a relatively longer period to determine the trends and variability of the SUHI in the last few years. To do this, there is used 52 Landsat 8 satellite data from 2013 to 2019 and a tool called the Google Earth Engine to process it. The results of this study indicate that the average Land Surface Temperature (LST) of DKI Jakarta in the study period (2013-2019) tends to increase. However, the progress varies which is likely caused by the El Nino-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD). In addition, local hot centers were also detected in North, Central, East, and West Jakarta, which in this study period were mostly in East Jakarta. Next, there is also obtained the average intensity of SUHI with the strongest category based on the UHI intensity classification table, namely in 2013, 2014, 2015 and 2018. Finally, the satellite image processing method using the Google Earth Engine can be used to process satellite data in a relative long periode effectively and efficiently. Therefore, this method can be used for further research.
format Final Project
author Naufal Shidiq, Rafiq
spellingShingle Naufal Shidiq, Rafiq
TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
author_facet Naufal Shidiq, Rafiq
author_sort Naufal Shidiq, Rafiq
title TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
title_short TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
title_full TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
title_fullStr TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
title_full_unstemmed TEMPORAL ANALYSIS OF THE SURFACE URBAN HEAT ISLAND PHENOMENON IN DKI JAKARTA USING GOOGLE EARTH ENGINE
title_sort temporal analysis of the surface urban heat island phenomenon in dki jakarta using google earth engine
url https://digilib.itb.ac.id/gdl/view/50069
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