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Climate change is a matter of considerable global importance, as evidenced by the increased urban surface temperatures in developed and undeveloped areas. Hence, this study aims to analyze the threshold and index of the urban heat island (UHI) phenomenon within the urban region of Bima City, located in Indonesia. The study was undertaken by utilizing sequential data from 2016, 2019, and 2022 obtained from the Google Earth Engine portal. The analysis focused on the assessment of UHI by examining land surface temperature (LST), normalized difference vegetation index (NDVI), and normalized difference built-up index (NDBI). Algorithms that operate on a single channel are employed to compute the land surface temperature. The findings indicate that the LST peaked in 2016 at 32.54 which rose to 35.08 in 2019 and increased to 39.18 in 2022. This implies a progressive rise in the LST of Bima City as time progresses. Moreover, it was observed that LST exhibited a positive correlation with the NDBI while displaying a negative correlation with the NDVI. The urban heat island phenomenon has been observed to possess the capacity to elevate ambient air temperatures in urban regions by as much as 3 when compared to suburban areas. In addition to considering both developed and undeveloped regions, it is important to acknowledge the observed changes in the UHI threshold in Bima City. Specifically, the UHI threshold has exhibited an upward trend, rising from 26.73 in 2016 to 29.57 in 2019 and 31.21 in 2022.
Czasopismo
Rocznik
Tom
Strony
91--107
Opis fizyczny
Bibliogr. 28 poz., rys., tab.
Twórcy
autor
- Natural Resources and Environmental Management Science Study Program, Graduate School, IPB University, Baranangsiang Campus, Bogor 16144, Indonesia
autor
- Natural Resources and Environmental Management Science Study Program, Graduate School, IPB University, Baranangsiang Campus, Bogor 16144, Indonesia
- Department of Forest Products Technology, Faculty of Forestry and Environment, IPB University, Darmaga Campus, Bogor 16113, Indonesia
autor
- Department of Mechanical and Biosystem Engineering, Faculty of Agricultural Technology, IPB University, Darmaga Campus, Bogor 16113, Indonesia
autor
- Department of Civil and Environmental Engineering, Faculty of Agricultural Technology, IPB University, Darmaga Campus, Bogor 16113, Indonesia
Bibliografia
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- 4. Athukorala D., Murayama Y. 2021. Urban heat island formation in greater cairo: Spatio-temporal analysis of daytime and nighttime land surface temperatures along the urban-rural gradient. Remote Sens., 13(7). doi: 10.3390/rs13071396.
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- 10. Fadlin F., Suparjo, Sajiah A.M., Ransi N., Nangi J. 2020. Spatiotemporal analysis of environmental criticality index using land surface temperature and normalized difference vegatation index Algorithms in Makassar City. (In Idonesian) SemanTIK, 6(1), 89–98.
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- 12. Garouani M.E., Amyay M., Lahrach A., Oulidi H.J. 2021. Land surface temperature in response to land use/cover change based on remote sensing data and GIS techniques: Application to Saïss Plain, Morocco. J Ecol Eng., 22(7), 100–112. doi: 10.12911/22998993/139065.
- 13. Ismoyojati G., Sujono J., Jayadi R., Teknik D., Teknik F., Gadjah U. 2019. Study of the effect of changes in land use on the flood characteristics of Bima City. February. (In Idonesian) doi: 10.7454/jglitrop.v2i2.46.
- 14. Jimenez-Munoz J.C., Sobrino J.A., Skokovic D., Mattar C., Cristobal J. 2014. Land surface temperature retrieval methods from landsat-8 thermal infrared sensor data. IEEE Geosci Remote Sens Lett., 11(10), 1840–1843. doi: 10.1109/LGRS.2014.2312032.
- 15. Kamboj S., Ali S. 2020. Urban sprawl of Kota city: A case study of urban heat island linked with electric consumption. Mater Today Proc., 46(40), 5304–5314. doi: 10.1016/j.matpr.2020.08.783.
- 16. Kaplan G., Avdan U., Avdan Z.Y. 2018. Urban Heat Island Analysis Using the Landsat 8 Satellite Data: A Case Study in Skopje, Macedonia.
- 17. Khoshnoodmotlagh S., Daneshi A., Gharari S., Verrelst J., Mirzaei M., Omrani H. 2021. Urban morphology detection and it’s linking with land surface temperature: A case study for Tehran Metropolis, Iran. Sustain Cities Soc. 74 October 2020:103228. doi: 10.1016/j.scs.2021.103228.
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- 21. Sejati A.W., Buchori I., Rudiarto I. 2019. The spatio-temporal trends of urban growth and surface urban heat islands over two decades in the Semarang Metropolitan Region. Sustain Cities Soc., 46(2018), 101432. doi: 10.1016/j.scs.2019.101432.
- 22. Senanayake I.P., Welivitiya W.D.D.P., Nadeeka P.M. 2013. Remote sensing based analysis of urban heat islands with vegetation cover in Colombo city, Sri Lanka using Landsat-7 ETM+ data. Urban Clim., 5, 19–35. doi: 10.1016/j.uclim.2013.07.004.
- 23. Setiawan B., Rudiarto I. 2016. Study of changes in land use and spatial structure of the City of Bima. (In Indonesian) J Pembang Wil Kota., 11(4), 154. doi: 10.14710/pwk.v12i2.12892.
- 24. Tawfeeq Najah F., Fakhri Khalaf Abdullah S., Ameen Abdulkareem T. 2023. Urban land use changes: effect of green urban spaces transformation on urban heat islands in Baghdad. Alexandria Eng J., 66, 555–571. doi: 10.1016/j.aej.2022.11.005.
- 25. U.S. Geological Survey. 2019. Landsat 8 Data Users Handbook. Volume ke-8. https://landsat.usgs.gov/documents/Landsat8DataUsersHandbook.pdf.
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- 28. Yang C., Yan F., Zhang S. 2020. Comparison of land surface and air temperatures for quantifying summer and winter urban heat island in a snow climate city. J Environ Manage., 265(March), 110563. doi: 10.1016/j.jenvman.2020.110563.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
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