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Identification of Urban Heat Island (UHI) in the City of Padang from 2019-2023 using Multitemporal Images Case Study: Padang City Area, West Sumatra Mentari Dian Pertiwi; Sri Kandi Putri; Nabilla Afifah; Wilda Islamisari
Sustainability (STPP) Theory, Practice and Policy Vol. 4 No. 1 (2024): Sustainability: Theory, Practice and Policy June Edition
Publisher : Pusat Kajian Berkelanjutan UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/sdgs.v4i1.2584

Abstract

The increase in population and urban development leads to higher energy consumption, which adversely affects environmental quality. The resulting impacts include a reduction in green open spaces, an increase in air pollution, and a rise in surface temperatures. This leads to the phenomenon known as the Urban Heat Island (UHI), where urban areas experience higher temperatures than their rural surroundings. This research aims to identify the UHI in Padang City using Landsat multitemporal data over a 5-year observation period from 2019 to 2023. The method involves converting digital numbers from Landsat 8 OLI/TIRS and Landsat 9 satellite images in the Thermal Band to generate Land Surface Temperature (LST) data. Subsequent processing is carried out in GIS software, such as QGIS or ArcGIS, to obtain the distribution of UHI. The research findings indicate fluctuations in land surface temperatures, with both increases and decreases observed over the study period. Each year witnesses an expansion of the UHI area, indicating worsening heat conditions in various regions of Padang City. The findings suggest that land surface temperatures will continue to rise with further urban expansion, highlighting the need for proactive measures. Therefore, it is crucial to develop and implement policies to control and mitigate the negative impacts of UHI in urban spatial planning.
Identifikasi suhu permukaan darat (LST) menggunakan Multi-Temporal Citra SENTINEL 3 2019-2023 Sri Kandi Putri; Mentari Dian Pertiwi; Naf’an Arifian; Alni Shatri; Adit Septria; Juliana Aisyah
Sustainability (STPP) Theory, Practice and Policy Vol. 4 No. 1 (2024): Sustainability: Theory, Practice and Policy June Edition
Publisher : Pusat Kajian Berkelanjutan UIN Sulthan Thaha Saifuddin Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30631/sdgs.v4i1.2585

Abstract

Land Surface Temperature (LST) is widely utilized in current studies, particularly as an initial survey tool to assess geothermal activity in locations suspected to have geothermal sources. The research method involves geometric correction of Sentinel-3 imagery and conversion of temperature units from Fahrenheit (F) to Celsius (C) to ensure accuracy in temperature measurement. Image data processing from Sentinel-3, including thermal band analysis, is carried out to generate land surface temperature values. The field-measured temperatures are then compared to the land surface temperature data obtained through processing. The temperatures in the location, ranging from 23°C to 35°C, fall within the minimum geothermal temperature range, indicating potential geothermal activity. However, the LST values from the image data exhibit some differences compared to the on-site measurements. These discrepancies are categorized into classes I (23.7 – 24°C), II (24 – 24.3°C), and III (24.3 – 24.8°C), marked by red areas in the LST values. These discrepancies are attributed to various factors during image recording and processing, such as atmospheric interference and sensor calibration.