Spatio-temporal analysis of built-up area and land surface temperature in Surakarta using Landsat imageries

Fikriyah, Vidya Nahdhiyatul; Danardono, Danardono; Sunariya, Muhammad Iqbal Taufiqurrahman; Cholil, Munawar; Hafid, Tegar Abdul; Ismail, Muhammad Islam

doi:10.22515/sustinerejes.v6i2.187

Cited by 12 publications

(14 citation statements)

References 19 publications

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“…The generated LST also show that the highest LST is in the city centre and decreases as it moves towards the outskirts of the city. These trends are similar with the research findings from Saputra, Ibrahim, Shofirun, Saifuddin and Furoida [13] and Fikriyah, Danardono, Sunariya, Cholil, Hafid and Ismail [2]. The visualisation of NDWI (Figure 3 and Figure 4) shows that there is a lot of red indicating high value in the city center, but the green colour which indicates the low value equally dominates.…”

Section: Performance Of Various Spectral Indices As Lst Indicatorssupporting

confidence: 88%

“…Moreover, since built-up area growth has an association to the energy consumption and urban heat, a quantitative measurement of built-up area, in terms of its distribution, and expansion, is therefore important as an attempt to support city planning and management. In addition, green space mapping is also crucial in order to maintain the sustainability of a city [2].…”

Section: Introductionmentioning

confidence: 99%

“…Spectral index can be useful in mapping built up lands. It is simple yet effective to highlight specific objects considering their different spectral reflection mechanisms obtained by the satellite's sensors [2].…”

Section: Introductionmentioning

confidence: 99%

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Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Hadibasyir

Firdaus

Fikriyah

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Spectral indices derived from remote sensing data such as NDVI, SAVI, NDBI, NDWI, and MNDWI were modified using various mathematical operations to enhance the overall accuracy of the automated mapping built-up (BU) areas. Although some of the modified spectral indices succeed in improving the accuracy of mapping BU areas, their performance as land surface temperature (LST) indicators needs to be investigated. Hence, this paper aims 1) to assess the performance of various spectral indices as LST indicators and 2) to investigate the relationship between performance of spectral indices as LST indicators and their accuracy for mapping BU areas. Research locations were located in Yogyakarta and Surakarta City, Indonesia. Spectral indices and LST were derived from Landsat 8. Results showed that NDBI, NDBI*MNDWI, NDVI*NDBI, and NDBI*SAVI were good LST indicators both in Yogyakarta and Surakarta proven by moderate to strong coefficient of Pearson correlation. The relationship between the performance of various spectral indices as LST indicators and their accuracy for mapping BU areas showed strong positive Spearman correlation by 0.69 and 0.73 for Yogyakarta and Surakarta, respectively. In other words, spectral indices, for both original and modified indices, with good accuracy for automated mapping BU areas tended to be good LST indicators.

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Section: Performance Of Various Spectral Indices As Lst Indicatorssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

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Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Hadibasyir

Firdaus

Fikriyah

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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“…From the built-up area, NDBI characteristics can be seen: objects will appear higher in the middle infrared channel than the near infrared channel (Zha et al, 2003). Finding NDBI can be done by using the following equation (Fikriyah et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Relationship Between Population Density and Land Cover Change in Kartasura Sub-district Using Built-Up Index (NDBI)

Cahyani,

Jumadi,

Saputra

2023

Advances in Social Science, Education and Humanities Research

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The population density that occurs in a region can usually cause many problems to occur in the region, one of which is land cover change from vegetation to land that will later be built up. Kartasura Sub-district is a district in Sukoharjo regency that is strategically located in the city area, which means that many issues could develop there. The purpose of this study was to determine the relationship between population density in Kartasura Sub-district and land use changes that occurred in 2010 and 2021. This study employed the Nomalized Difference Builtup Index (NDBI) with Landsat 7 and 8 images obtained from Google Earth Engine, and population data were taken from the Statistics Indonesia (BPS) in figures for Kartasura Sub-district in 2010 and 2021. Determining the relationship between population density and changes in non-building land and buildings used variable correlation analysis. The result of this study is the increase in population density every year, despite the decrease in some villages in 2021 due to a factor and the comparison of building classifications in 2010 and 2021. Thus, it is very clear that many changes occurred in 2021, from vegetation land to building land. Overall accuracy (OA) is 92%, and the result of the relationship between the number of residents and building changes is 0.398, which means a positive effect.

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“…Several studies stated that urbanization contributes to environmental degradation. Research by Fikriyah & Sunariya (2022) found that built-up density has a correlation with land surface temperature. Furthermore, Khoshnevis Yazdi & Dariani (2019) stated that the population is living in urban area cause two-thirds of greenhouse gas, which contain carbon dioxide emission (CO2) in it.…”

Section: Introductionmentioning

confidence: 99%

Carbon Emissions and Urbanization in ASEAN-5 Countries

Perwithosuci

Hadibasyir

Arif

2023

OJEP

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The population in the world reach 7.5 billion in 2019. Population living in urban area is one of the drivers of cabon emissions. This study aims to estimate the relationship between urbanization, GDP, trade openness, and coal consumption on carbon dioxide emissions in ASEAN-5 countries which are Indonesia, Malaysia, Thailand, Philippines, and Vietnam from 1990 to 2020. The data generated from British Petroleum and World Bank. This current study employs Fixed-Effect estimation model to estimate the data. The result revealed there is positive relationship between urban population as proxy of urbanization, GDP, trade openness, and coal consumption. Policies should highlight the utilization of low-carbon techlonogies and renewable energy to reduce carbon emissions.

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Spatio-temporal analysis of built-up area and land surface temperature in Surakarta using Landsat imageries

Cited by 12 publications

References 19 publications

Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Assessing Performance of Modified Spectral Indices as Land Surface Temperature Indicators in Tropical Urban Areas

Relationship Between Population Density and Land Cover Change in Kartasura Sub-district Using Built-Up Index (NDBI)

Carbon Emissions and Urbanization in ASEAN-5 Countries

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