Analisis Surface Urban Heat Island Menggunakan Teknik Penginderaan Jauh Berbasis Cloud Computing Pada Google Earth Engine Di Kota Samarinda

Dewantoro, Bayu Elwantyo Bagus; Natani, Pavita Almira; Islamiah, Zumrotul

doi:10.24895/sng.2020.0-0.1122

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Samarinda City also has the same characteristics as the Bontang City that is surrounded by coal mining area [17]. The UHI intensity in the city of Samarinda ranges from 1.5 -6 o C due to the high density built-up area [18]. With the existence of mining areas around the city of Samarinda, the UHI…”

Section: Heat Island From Remote Sensingmentioning

confidence: 99%

Open-pit coal mining exacerbates urban heat island in Bontang City, Indonesia

Nisaa'¹,

Fawzi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Global energy demand has surged, especially on coal commodities. To accommodate the demand, open-pit coal mining became a faster and cheaper solution, but left a land-use change and degradation. This research tried to examine the impact of open-pit coal mining on urban heat island (UHI) in Bontang city. The study used multitemporal Landsat images (2002 and 2019) to assess land surface temperature. Then, the UHI and non UHI area were calculated and excluded the sea for the calculation. As a result, UHI was only distributed in the centre of Bontang city. In 2019, UHI intensity distributed in the city centre and also occurred in the open-pit coal mining area with the UHI intensity >5°C distributed equally. The UHI intensity in coal mining is higher than the city. The impact was causing discomfort for the people and could lead to health problems due to interaction with air pollution from mining activities. This study concludes mining should be accompanied with restoration to enhance quality of life and other environmental benefits.

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Section: Heat Island From Remote Sensingmentioning

confidence: 99%

Open-pit coal mining exacerbates urban heat island in Bontang City, Indonesia

Nisaa'¹,

Fawzi

2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…Radiometric and atmospheric corrections must be applied because atmospheric effects generally affect the imagery, resulting in suboptimal spectral reflections on objects. According to (Dewantoro et al, 2021), the Landsat 5 imagery and Landsat 8 imagery employed in Google Earth Engine are indirectly corrected radiometrically and atmospherically. Thus, these corrections are not repeated to avoid reflectance bias.…”

Section: Data Analysis and Processing Techniquesmentioning

confidence: 99%

Analysis of Community Comfort in the Semarang Area Based on Temperature Distribution Values Using the Temperature Humidity Index

Saputra,

Hadibasyir,

Danardono

et al. 2023

Advances in Social Science, Education and Humanities Research

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The Semarang Area is the center of socio-economic activity, and manifold people come to improve their living standards. The increasing population growth in Semarang Area due to the rate of urbanization initiates the conversion of vegetation land into built-up land, which has implications for decreasing comfort. This study aimed to analyze community comfort based on the distribution of temperature and the Temperature Humidity Index (THI) in 1999, 2009, and 2019, analyze trends in community comfort based on the level of THI area and analyze the regression and correlation between temperature values and THI. Data processing applied Landsat 5 TM satellite imagery (1999, 2009) and Landsat 8 OLI satellite imagery (2019), google earth engine was utilized to obtain a temperature value. The quantitative data analysis method employed stratified random sampling. The data processing results obtained the highest temperature distribution (>31 °C) in the activity center area, while the temperature < 24 °C-29 °C in vegetated areas in Semarang Regency. Semarang City is recognized for its extremely high THI value (<27 °C (uncomfortable category)). In 1999, the area of THI of class 3 was 20219.8 ha, it increased to 28616.3 ha in 2009, and the largest area was in 2019 with 65481.7 ha. The THI value represents a high value, meaning that the area has a low comfort level, causing less comfortable for people to live in and vice-versa. The simple linear regression correlation test presented that the significant data were normally distributed and the graphs were positively related.

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“…However, it cannot be denied that several areas of Bandung City have warmer and even hotter temperatures than other cities, for example, Bogor City. The phenomenon of rising temperature in Bandung City is closely related to the Urban Heat Island (UHI) phenomenon or Urban Heat Island, where an urban area has a higher temperature than the surrounding areas [3,4]. One of the reasons that cause this phenomenon is the high urbanization in Bandung city [5] that eventually leads to UHI and will negatively affect health, energy, and food.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Vegetation Density and Surface Temperature in Buahbatu District, Bandung using Landsat 8 Oli/Tirs Satellite Images

et al. 2022

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Urban Heat Island is a phenomenon of increasing temperature that occurs in the city area compared to the surrounding area. Urban Heat Island is caused by reduced vegetation due to changes in rural land use to urban areas. This study was conducted to analysis the relation between vegetation density (NDVI) and surface temperature (LST) in Buahbatu District as an effort to control the impact of the Urban Heat Island phenomenon. This research was conducted by processing data from Landsat 8 OLI/TIRS satellite images in 2019-2020, namely from May to October 2019 and May to October 2020. Data collection was carried out through Google Earth Engine to retrieve geospatial data visualization (satellite imagery) and USGS to download Landsat 8 satellite imagery on Bands 4 and 5, then the data is processed using Arcmap, and Pearson correlation test is performed on SPSS. The results obtained are a correlation between vegetation density and surface temperature. In Buahbatu District, the correlation between vegetation density and surface temperature shows a value of (-.403*) in 2019 and (-.386*) in 2020. Both show a negative correlation, which means that if an area has high vegetation density, the surface temperature will decrease, and vice versa. In addition, Buahbatu District gets a good UHI with an NDVI above 0.25, and an LST below 30 but not less than 25.

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Analisis Surface Urban Heat Island Menggunakan Teknik Penginderaan Jauh Berbasis Cloud Computing Pada Google Earth Engine Di Kota Samarinda

Cited by 5 publications

References 17 publications

Open-pit coal mining exacerbates urban heat island in Bontang City, Indonesia

Open-pit coal mining exacerbates urban heat island in Bontang City, Indonesia

Analysis of Community Comfort in the Semarang Area Based on Temperature Distribution Values Using the Temperature Humidity Index

Analysis of Vegetation Density and Surface Temperature in Buahbatu District, Bandung using Landsat 8 Oli/Tirs Satellite Images

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