PERTANIKA JOURNAL OF SCIENCE AND TECHNOLOGY

 

e-ISSN 2231-8526
ISSN 0128-7680

Home / Regular Issue / JST Vol. 32 (6) Oct. 2024 / JST-4970-2023

 

Variation and Forecasting of Land Surface Temperature in Malaysia

Munawar Munawar, Rhysa McNeil, Rohana Jani, Edwar M Nur and Don McNeil

Pertanika Journal of Science & Technology, Volume 32, Issue 6, October 2024

DOI: https://doi.org/10.47836/pjst.32.6.16

Keywords: Cubic spline, forecasting, LST increase, Malaysia, NASA MODIS

Published on: 25 October 2024

Long-term variations in temperature and weather patterns provide evidence that the planet is experiencing global warming. The detrimental consequences of global warming on the ecosystem have affected people, plants, and animals. The rising Land Surface Temperature (LST) in a region has become a crucial indicator for determining specific climate change policies. Malaysia is divided into Peninsular Malaysia and Sabah Sarawak, located on Borneo Island, comprising four super-regions and 36 sub-regions. The distance between sub-regions, measured in latitudes and longitudes, is 150 pixels (equivalent to 95 kilometres), covering the entire country. This study uses data from NASA’s Terra satellites’ Moderate Resolution Imaging Spectroradiometers (MODIS) covering 2000–2022. Eight, four, and three knots were deployed on the cubic spline equation to analyse cyclical data, variation, and the LST forecast from 2022 to 2030. The global mean rise in LST variation per decade is 0.445°C, with a significance level of 5%, from a confidence interval of [0.377, 0.507]°C. The average predicted fluctuation in LST indicates a significant rise of 0.383°C per decade. Malaysia has not shown a significant decrease in LST acceleration at the 0.05 significance level, and a p-value of 0.06 suggests that LST variation is still increasing. Compared to the Sabah Sarawak group, which experiences LST deceleration, most Peninsular Malaysia group experiences LST acceleration.

  • Alberg, J. H., Nilson, E. N., & Walsh, J. L. (1967). The theory of splines and their applications. Academic.

  • Anak, R. (2022). Statistical modeling of impacts El Niño Southern Oscillations (ENSO) on land surface temperature in small medium size city: Case study Kuching Sarawak. Journal of Sustainable Natural Resources, 3(1), 14-22.

  • Babalola, O. S., & Akinsanola, A. A. (2016). Change detection in land surface temperature and land use land cover over Lagos Metropolis, Nigeria. Journal of Remote Sensing & GIS, 5(3), 1-7.

  • Bruce, J. P., Lee, H., & Haites, E. F. (1996). Climate change 1995. Contribution of Working Group III to the Second Assessment Report of the Intergovernmental Panel on Climate Change (No. 574.5222 C639co 1995). Cambridge University Press.

  • Buyadi, S. N. A., Mohd, W. M. N. W., & Misni, A. (2014). Impact of vegetation growth on urban surface temperature distribution. In IOP Conference Series: Earth and Environmental Science (Vol. 18, No. 1, p. 012104). IOP Publishing. https://doi.org/10.1088/1755-1315/18/1/012104

  • Chinowsky, P., Hayles, C., Schweikert, A., Strzepek, N., Strzepek, K., & Schlosser, C. A. (2011). Climate change: comparative impact on developing and developed countries. The Engineering Project Organization Journal, 1(1), 67-80. https://doi.org/10.1080/21573727.2010.549608

  • de Hauteclocque, G., Maretic, N. V., & Derbanne, Q. (2023). Hindcast based global wave statistics. Applied Ocean Research, 130, Article 103438.

  • Evans, M. (2018, April 25). Forest loss leads to local climate change effect in Borneo. ThinkLandscape. https://thinklandscape.globallandscapesforum.org/27161/forest-loss-leads-to-local-climate-change-effect-in-borneo/

  • Ferreira, L. S., & Duarte, D. H. S. (2019). Exploring the relationship between urban form, land surface temperature and vegetation indices in a subtropical megacity. Urban Climate, 27, 105-123. https://doi.org/10.1016/j.uclim.2018.11.002

  • Fox, M., Zuidema, C., Bauman, B., Burke, T., & Sheehan, M. (2019). Integrating public health into climate change policy and planning: state of practice update. International journal of environmental research and public health, 16(18), Article 3232. https://doi.org/10.3390/ijerph16183232

  • Himayah, S., Ismail, A., Ridwana, R., Arrasyid, R., Affriani, A. R., & Ihsan, M. (2019). Correlation between land surface temperature and vegetation greenness using multi-temporal images. In IOP Conference Series: Earth and Environmental Science (Vol. 286, No. 1, p. 012043). IOP Publishing. https://doi.org/10.1088/1755-1315/286/1/012043

  • Ismail, N. A., Zin, W. Z. W., Ibrahim, W., & Yeun, L. C. (2019). Eight-day daytime land surface temperature pattern over Peninsular Malaysia. International Journal of Recent Technology and Engineering, 8(4), 11949-11955. https://doi.org/10.35940/ijrte.D9911.118419

  • Jaafar, W. S. W. M., Maulud, K. N. A., Kamarulzaman, A. M. M., Raihan, A., Sah, S. M., Ahmad, A., Saad, S. N. M., Azmi, A. T. M., Syukri, N. K. A. J., & Khan, W. R. (2020). The influence of deforestation on land surface temperature - A case study of Perak and Kedah, Malaysia. Forests, 11(6), Article 670. https://doi.org/10.3390/f11060670

  • Kamal, N. I. A., Ash’aari, Z. H., & Abdullah, A. M. (2019). Spatio-temporal variability of heat exposure in Peninsular Malaysia using land surface temperature. Disaster Advances, 12(12), 1-9.

  • Khorchani, M., Martin-Hernandez, N., Vicente-Serrano, S. M., Azorin-Molina, C., Garcia, M., Domínguez-Duran, M. A., Reig, F., Peña-Gallardo, M., & Domínguez-Castro, F. (2018). Average annual and seasonal land surface temperature, Spanish Peninsular. Journal of Maps, 14(2), 465-475. https://doi.org/10.1080/17445647.2018.1500316

  • Majumder, A., Kingra, P. K., Setia, R., Singh, S. P., & Pateriya, B. (2020). Influence of land use/land cover changes on surface temperature and its effect on crop yield in different agro-climatic regions of Indian Punjab. Geocarto International, 35(6), 663-686. https://doi.org/10.1080/10106049.2018.1520927

  • Mall, R. K., Chaturvedi, M., Singh, N., Bhatla, R., Singh, R. S., Gupta, A., & Niyogi, D. (2021). Evidence of asymmetric change in diurnal temperature range in recent decades over different agro‐climatic zones of India. International Journal of Climatology, 41(4), 2597-2610. https://doi.org/10.1002/joc.6978

  • Mendelsohn, R. (2009). The impact of climate change on agriculture in developing countries. Journal of Natural Resources Policy Research, 1(1), 5-19. https://doi.org/10.1080/19390450802495882

  • Metz, B., Davidson, O., Swart, R., & Pan, J. (Eds.). (2001). Climate change 2001: Mitigation: Contribution of Working Group III to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press.

  • Mikhaylov, A., Moiseev, N., Aleshin, K., & Burkhardt, T. (2020). Global climate change and greenhouse effect. Entrepreneurship and Sustainability Issues, 7(4), Article 2897. http://doi.org/10.9770/jesi.2020.7.4(21)

  • Munawar, M., Prasetya, T. A. E., McNeil, R., & Jani, R. (2022). Statistical modeling for land surface temperature in Borneo island from 2000 to 2019. Theoretical and Applied Climatology,147, 1627–1634. https://doi.org/10.1007/s00704-021-03891-8

  • Munawar, M., Prasetya, T. A. E., McNeil, R., Jani, R., & Buya, S. (2023). Spatio and temporal analysis of indonesia land surface temperature variation during 2001–2020. Journal of the Indian Society of Remote Sensing, 51, 1393–1407. https://doi.org/10.1007/s12524-023-01713-0

  • Murad, W., Molla, R. I., Mokhtar, M., & Raquib, A. (2010). Climate change and agricultural growth: an examination of the link in Malaysia. International Journal of Climate Change Strategies and Management, 2(4), 403-417. https://doi.org/10.1108/17568691011089927

  • Odindi, J. O., Bangamwabo, V., & Mutanga, O. (2015). Assessing the value of urban green spaces in mitigating multi-seasonal urban heat using MODIS land surface temperature (LST) and landsat 8 data. International Journal of Environmental Research, 9(1), 9-18. https://doi.org/10.22059/ijer.2015.868

  • ORNL DAAC. (2018). MODIS and VIIRS Land Products Global Subsetting and Visualization Tool. Oak Ridge National Laboratory Distributed Active Archive Center. https://doi.org/10.3334/ornldaac/1379

  • Parmesan, C., & Hanley, M. E. (2015). Plants and climate change: Complexities and surprises. Annals of Botany, 116(6), 849-864. https://doi.org/10.1093/aob/mcv169

  • Phan, T. N., Kappas, M., & Tran, T. P. (2018). Land surface temperature variation due to changes in elevation in northwest Vietnam. Climate, 6(2), Article 28. https://doi.org/10.3390/cli6020028

  • Prevedello, J. A., Winck, G. R., Weber, M. M., Nichols, E., & Sinervo, B. (2019). Impacts of forestation and deforestation on local temperature across the globe. PloS one, 14(3), Article e0213368. https://doi.org/10.1371/journal.pone.0213368

  • Rasul, A., Balzter, H., Smith, C., Remedios, J., Adamu, B., Sobrino, J. A., Srivanit, M., & Weng, Q. (2017). A review on remote sensing of urban heat and cool islands. Land, 6(2), Article 38. https://doi.org/10.3390/land6020038

  • Sheikhi, A., & Kanniah, K. D. (2018). Impact of land cover change on urban surface temperature in Iskandar Malaysia. Chemical Engineering Transactions, 63, 25-30. https://doi.org/10.3303/CET1863005

  • Singh, R. B., Grover, A., & Zhan, J. (2014). Inter-seasonal variations of surface temperature in the urbanized environment of Delhi using landsat thermal data. Energies, 7(3), 1811–1828. https://doi.org/10.3390/en7031811

  • Suherman, A., Rahman, M. Z. A., & Busu, I. (2014). Albedo and land surface temperature shift in hydrocarbon seepage potential area, case study in Miri Sarawak Malaysia. In IOP Conference Series: Earth and Environmental Science (Vol. 18, No. 1, p. 012148). IOP Publishing. https://doi.org/10.1088/1755-1315/18/1/012148

  • Tangang, F. T., Juneng, L., Salimun, E., Sei, K. M., Le, L. J., & Muhamad, H. (2012). Climate change and variability over Malaysia: Gaps in science and research information. Sains Malaysiana, 41(11), 1355–1366.

  • Team, R. C. (2018). A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.r-project.org/

  • Tol, R. S. (2018). The economic impacts of climate change. Review of Environmental Economics and Policy, 2(1), 4-25.

  • Venables, W. N., & Ripley, B. D. (2002). Modern applied statistics with S. Springer.

  • Wan, Z. (2008). New refinements and validation of the MODIS land-surface temperature/emissivity products. Remote sensing of Environment, 112(1), 59-74. https://doi.org/10.1016/j.rse.2006.06.026

  • Wilkinson, C. L., Yeo, D. C., Tan, H. H., Fikri, A. H., & Ewers, R. M. (2018). Land-use change is associated with a significant loss of freshwater fish species and functional richness in Sabah, Malaysia. Biological Conservation, 222, 164-171. https://doi.org/10.1016/j.biocon.2018.04.004

  • Wolff, N. H., Masuda, Y. J., Meijaard, E., Wells, J. A., & Game, E. T. (2018). Impacts of tropical deforestation on local temperature and human well-being perceptions. Global Environmental Change, 52, 181–189. https://doi.org/10.1016/j.gloenvcha.2018.07.004

  • Wongsai, N., Wongsai, S., & Huete, A. R. (2017). Annual seasonality extraction using the cubic spline function and decadal trend in temporal daytime MODIS LST data. Remote Sensing, 9(12), Article 1254. https://doi.org/10.3390/rs9121254

ISSN 0128-7680

e-ISSN 2231-8526

Article ID

JST-4970-2023

Download Full Article PDF

Share this article

Related Articles