UPSI Digital Repository (UDRep)
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UPSI Digital Repository (UDRep)
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| Abstract : Universiti Pendidikan Sultan Idris |
| The Covid-19 outbreak rapidly became a global pandemic in December 2019, spreading through droplets, direct contact, and possibly airborne transmission. Southeast Asian nations like Malaysia and Indonesia experienced delayed outbreaks but saw a surge in cases. Analysing Covid-19 spatial patterns, especially concerning temperature and humidity, provides valuable insights. Utilizing remote sensing, allows studying the correlation between temperature conditions and Covid-19 outbreak patterns. This study focuses on investigating the impact of urban heat islands (UHIs) on Covid-19 outbreaks in Jakarta and Greater Kuala Lumpur, given their significant caseloads in Indonesia and Malaysia, respectively. The research integrates remote sensing, secondary data, and statistical analysis methods. Remote sensing was used to acquire land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI). The analysis revealed that industrial and commercial areas were hotter than others during normal times, but during the pandemic, LST and UHI shifted from industrial to settlement areas due to large-scale social restrictions. This shift corresponded with the cessation of office, tourism, and industrial activities during lockdowns in March and July 2020 in Jakarta and Greater Kuala Lumpur, respectively. The concentration of people shifted from central business and industrial areas to residential areas during lockdowns, resulting in changes in UHI patterns. © 2024, Asociatia Geographia Technica. All rights reserved. |
| References |
Adinna, E., Christian, E. I., and Okolie, A. T. (2009). Assessment of urban heat island and possible adaptations in Enugu urban using Landsat-ETM. Journal of Geography and Regional Planning, 2(2), 030-036. Araujo, MB. & Naimi, B. (2020). Spread of SARS-CoV-2 Coronavirus likely constrained by climate. medRxiv; DOI: 10.1101/2020.03.12.20034728. Bassani, C., Vichi, F., Esposito, G., Montagnoli, M., Giusto, M., & Ianniello, A. (2021). Nitrogen dioxide reductions from satellite and surface observations during COVID-19 mitigation in Rome (Italy). Environmental Science and Pollution Research, 28, 22981-23004. https://doi.org/10.1007/s11356-020-12141-9. Bessec, M. & Fouquau, J. (2008). The Non-linear Link between Electricity Consumption and Temperature in Europe: A Threshold Panel Approach. Energy Economics, 30(5), 2705–2721. Binarti, F. & Santoso, A.J. (2023). Identifying climate change vulnerability based on land cover indicators: a case study in Surabaya, Indonesia. Geographia Technica, 18(1), 71-84. http://dx.doi.org/10.21163/GT_2023.181.06. Boori, M.S., Netzband, M., Coudhary, K., Vozenilek, V. (2015). Monitoring and modeling of urban sprawl through remote sensing and GIS in Kuala Lumpur, Malaysia. Ecological Processes, 4(1). DOI: 10.1186/s13717-015-0040-2. Chen, X-L., Zhao, H.-M., Li, P.-X., Yin, Z.-Y. (2006). Remote sensing image -based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing Environment, 104. 133-146. Cina National Health Commission. (2020) Update on the novel coronavirus pneumonia outbreak (Jan 24, 2020). Beijing: Cina National Health Commission. http://www.nhc.gov.cn/xcs/yqdt/202001/c5da49c4c5bf4bc320ec2036480627.shml (accessed Jan 24, 2020) Damaledo, Y. D. (2021). Kasus Corona Pertama di Indonesia Diumumkan Tahun Lalu [Kesehatan]. Tirto.Id. https://tirto.id/2-maret-2020-kasus-corona-pertama-di-indonesia-diumumkan-tahun-lalu-gaKw. Dutta, V., Kumar, S., & Dubey, D. (2021). Recent advances in satellite mapping of global air quality: evidences during COVID-19 pandemic. Environmental Sustainability, 4(3), 469-487. https://doi.org/10.1007/s42398-021-00166-w. Elvidge, CD., Baugh, KE, Kihn, EA., Kroehl, HW., Davis, ER., and Davis, CW. (1997). Relation between Satellite Observed Visible-near Infrared Emissions, Population, Economic Activity and Electric Power Consumption. International Journal of Remote Sensing, 18(6), 1373–1379. Gallo, K.P., Owen, T.W. (1999) Satellite-based adjustment for the urban heat island temperature bias. Journal Applied Meteorology, 38, 806-813. Good, EJ., Ghent, DJ., Bulgin, CE., Remidios, JJ. (2017). A spatiotemporal analysis of the relationship between near-surface air temperature and satellite land surface temperatures using 17 years of data from the ATSR series. JGR: Atmospheres, 122(17). https://doi.org/10.1002/2017JD026880. |
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