Analysis of Land Cover Changes to Increase Land Surface Temperature in Surabaya using Landsat Satellite
DOI:
https://doi.org/10.31172/jmg.v24i2.968Keywords:
UHI, Land Cover, NDVI, NDBI, LSTAbstract
Surabaya has experienced very significant development in the last few decades. Changes in land use will cause the Urban Heat Island phenomenon. This study aims to determine how far the impact of land cover changes on the increase in surface temperature in the Surabaya. The use of Landsat satellite imagery is considered very effective in describing land cover and surface temperature because it has good spatial resolution and long data availability. During 1991 – 2020 there was a significant decrease in the amount of vegetation by 24.3%, decrease in the number of water bodies by 4.9%, and increase in the number of buildings by 29.2%. The average increase in Land Surface Temperatures was 1.40°C between decades 2 and 1, and an increase of 2.19°C between decades 3 and 2. The development of Surabaya began in the city center and then developed mainly in the west and east. The urban development model is consistent with the pattern of land surface temperature changes. Each type of land cover has special characteristics on the value of NDVI, NDBI, and surface temperature. Changes in cover from water bodies to buildings have the highest contribution to increasing the and surface temperature. There was a significant increase in hotspots in decade 3 in Surabaya which indicated an increasingly severe UHI phenomenon.
References
S. Sultana and A. N. V. Satyanarayana, “Urban heat island intensity during winter over metropolitan cities of India using remote-sensing techniques: impact of urbanization,” Int J Remote Sens, vol. 39, no. 20, pp. 6692–6730, Oct. 2018, doi: 10.1080/01431161.2018.1466072.
R. Bala, R. Prasad, and V. P. Yadav, “Quantification of urban heat intensity with land use/land cover changes using Landsat satellite data over urban landscapes,” Theor Appl Climatol, vol. 145, no. 1–2, pp. 1–12, Jul. 2021, doi: 10.1007/s00704-021-03610-3.
Y. Chen and S. Yu, “Impacts of urban landscape patterns on urban thermal variations in Guangzhou, China,” International Journal of Applied Earth Observation and Geoinformation, vol. 54, pp. 65–71, Feb. 2017, doi: 10.1016/j.jag.2016.09.007.
B. Halder, J. Bandyopadhyay, and P. Banik, “Monitoring the effect of urban development on urban heat island based on remote sensing and geo-spatial approach in Kolkata and adjacent areas, India,” Sustain Cities Soc, vol. 74, p. 103186, Nov. 2021, doi: 10.1016/j.scs.2021.103186.
Y. Li, H. Zhang, and W. Kainz, “Monitoring patterns of urban heat islands of the fast-growing Shanghai metropolis, China: Using time-series of Landsat TM/ETM+ data,” International Journal of Applied Earth Observation and Geoinformation, vol. 19, pp. 127–138, Oct. 2012, doi: 10.1016/j.jag.2012.05.001.
S. Sultana and A. N. V. Satyanarayana, “Assessment of urbanisation and urban heat island intensities using landsat imageries during 2000 – 2018 over a sub-tropical Indian City,” Sustain Cities Soc, vol. 52, p. 101846, Jan. 2020, doi: 10.1016/j.scs.2019.101846.
H. Kandel, A. Melesse, and D. Whitman, “An analysis on the urban heat island effect using radiosonde profiles and Landsat imagery with ground meteorological data in South Florida,” Int J Remote Sens, vol. 37, no. 10, pp. 2313–2337, May 2016, doi: 10.1080/01431161.2016.1176270.
L. Yang, F. Qian, D.-X. Song, and K.-J. Zheng, “Research on Urban Heat-Island Effect,” Procedia Eng, vol. 169, pp. 11–18, 2016, doi: 10.1016/j.proeng.2016.10.002.
J. A. I. Paski, F. Alfahmi, D. S. Permana, and E. E. S. Makmur, “Reconstruction of Extreme Rainfall Event on September 19-20, 2017, Using a Weather Radar in Bengkulu of Sumatra Island,” The Scientific World Journal, vol. 2020, pp. 1–6, Jul. 2020, doi: 10.1155/2020/1639054.
Md. N. Rahman et al., “Impact of Urbanization on Urban Heat Island Intensity in Major Districts of Bangladesh Using Remote Sensing and Geo-Spatial Tools,” Climate, vol. 10, no. 1, p. 3, Jan. 2022, doi: 10.3390/cli10010003.
N. Ullah, M. A. Siddique, M. Ding, S. Grigoryan, T. Zhang, and Y. Hu, “Spatiotemporal Impact of Urbanization on Urban Heat Island and Urban Thermal Field Variance Index of Tianjin City, China,” Buildings, vol. 12, no. 4, p. 399, Mar. 2022, doi: 10.3390/buildings12040399.
A. Amindin, S. Pouyan, H. R. Pourghasemi, S. Yousefi, and J. P. Tiefenbacher, “Spatial and temporal analysis of urban heat island using Landsat satellite images,” Environmental Science and Pollution Research, vol. 28, no. 30, pp. 41439–41450, Aug. 2021, doi: 10.1007/s11356-021-13693-0.
R. C. Estoque, Y. Murayama, and S. W. Myint, “Effects of landscape composition and pattern on land surface temperature: An urban heat island study in the megacities of Southeast Asia,” Science of The Total Environment, vol. 577, pp. 349–359, Jan. 2017, doi: 10.1016/j.scitotenv.2016.10.195.
N. Kikon, P. Singh, S. K. Singh, and A. Vyas, “Assessment of urban heat islands (UHI) of Noida City, India using multi-temporal satellite data,” Sustain Cities Soc, vol. 22, pp. 19–28, Apr. 2016, doi: 10.1016/j.scs.2016.01.005.
A. Majkowska, L. Kolendowicz, M. Półrolniczak, J. Hauke, and B. Czernecki, “The urban heat island in the city of Poznań as derived from Landsat 5 TM,” Theor Appl Climatol, vol. 128, no. 3–4, pp. 769–783, May 2017, doi: 10.1007/s00704-016-1737-6.
M. Ranagalage, R. C. Estoque, and Y. Murayama, “An Urban Heat Island Study of the Colombo Metropolitan Area, Sri Lanka, Based on Landsat Data (1997–2017),” ISPRS Int J Geoinf, vol. 6, no. 7, p. 189, Jun. 2017, doi: 10.3390/ijgi6070189.
Y. Zha, J. Gao, and S. Ni, “Use of normalized difference built-up index in automatically mapping urban areas from TM imagery,” Int J Remote Sens, vol. 24, no. 3, pp. 583–594, Jan. 2003, doi: 10.1080/01431160304987.
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