Land Covers and Climate Impacts on Land Surface Temperature in Putrajaya, Malaysia

Authors

  • Siti Aekbal Salleh Applied Remote Sensing and Geospatial Research Group, Centre of Studies Surveying Science and Geomatics, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor
  • Zulkiflee Abd.Latif Applied Remote Sensing and Geospatial Research Group, Centre of Studies Surveying Science and Geomatics, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Wan Mohd. Naim Wan Mohd Centre of Studies Surveying Science and Geomatics, Faculty of Architecture Planning and Surveying, Universiti Teknologi MARA, 40450 Shah Alam, Selangor, Malaysia
  • Andy Chan Faculty of Engineering, University of Nottingham, Campus Semenyih, Jalan Broga, Selangor, Malaysia

DOI:

https://doi.org/10.21834/aje-bs.v3i10.315

Keywords:

Land Surface Temperature, Land Cover, Urban, Climate

Abstract

This study investigates the influence of surface heterogeneity on land surface temperature (LST). The land cover changes evaluation and historical climate data comparison were used in this study. Land cover, Normalised Difference Vegetation Index (NDVI), Normalised Difference Built-up Index (NDBI) and LST maps are produced to quantify the impacts of urbanization towards the surface thermal behaviour. Urbanization was set in the year 1999 to 2006. While urbanization continued in 2009, the surface temperature was lower than in 2006. The sea level was notably high during 2006, suggesting the loss of ice extent and evident to the climate change effects. Therefore, the fluctuation of temperature from 1999 to 2009 was manifestly influenced by green space and climatic response and was not solely caused by urbanization.

References

Afroz, R., Hassan, M.N., & Ibrahim, N.A. (2003). Review of air pollution and health impacts in Malaysia. Environmental research, 92(2), 71-77. DOI: https://doi.org/10.1016/S0013-9351(02)00059-2

Akbari, H., Matthews, H.D., & Seto, D. (2012). The long-term effect of increasing the albedo of urban areas. Environmental Research Letters, 7(2), 024004. DOI: https://doi.org/10.1088/1748-9326/7/2/024004

Arneth, A., Harrison, S.P., Zaehle, S., Tsigaridis, K., Menon, S., Bartlein, P.J., Feichter, J., Korhola, A., Kulmala, M., & O'donnell, D. (2010). Terrestrial biogeochemical feedbacks in the climate system. Nature Geoscience, 3(8), 525-532. DOI: https://doi.org/10.1038/ngeo905

Chavez, P.S. (1996). Image-based atmospheric corrections-revisited and improved. Photogrammetric Engineering and Remote Sensing, 62(9), 1025-1035.

Gartland, L.M.M. (2012). Heat islands: understanding and mitigating heat in urban areas: Routledge. DOI: https://doi.org/10.4324/9781849771559

Ghazanfari, S., Naseri, M., Faridani, F., Aboutorabi, H., & Farid, A. (2009). Evaluating the effects of UHI on climate parameters (A case study for Mashhad, Khorrasan). International Journal of Energy and Environment, 3(2), 94-101.

Gregory, J., & Oerlemans, J. (1998). Simulated future sea-level rise due to glacier melt based on regionally and seasonally resolved temperature changes. Nature, 391(6666), 474-476. DOI: https://doi.org/10.1038/35119

Hakim, B.S. (1994). The" URF" and its Role in Diversifying the Architecture of Traditional Islamic Cities. Journal of architectural and planning research, 11, 108-108.

Heisler, G.M., & Brazel, A.J. (2010). The urban physical environment: Temperature and urban heat islands. Urban Ecosystem Ecology(urbanecosysteme), 29-56. DOI: https://doi.org/10.2134/agronmonogr55.c2

Jiang, X., Zhang, C., Gao, H., & Miao, S. (2007). Impacts of urban albedo change on urban heat island in Beijing - a case study. Acta Meteorologica Sinica, 65, 301-307.

Koken, P.J.M., Piver, W.T., Ye, F., Elixhauser, A., Olsen, L.M., & Portier, C.J. (2003). Temperature, air pollution, and hospitalization for cardiovascular diseases among elderly people in Denver. Environmental Health Perspectives, 111(10), 1312. DOI: https://doi.org/10.1289/ehp.5957

Li, X., Zhou, W., Ouyang, Z., Xu, W., & Zheng, H. (2012). Spatial pattern of greenspace affects land surface temperature: evidence from the heavily urbanized Beijing metropolitan area, China. Landscape Ecology, 27(6), 887-898. DOI: https://doi.org/10.1007/s10980-012-9731-6

Mao, K., Tang, H., Chen, Z., Qiu, Y., Qin, Z., & Li, M. (2005). A split-window algorithm for retrieving land-surface temperature from ASTER data. Remote Sensing Information, 7-11.

Mölders, N. (2011). Land-Use and Land-Cover Changes: Impact on Climate and Air Quality (Vol. 44): Springer Verlag. DOI: https://doi.org/10.1007/978-94-007-1527-1

Moser, S. (2010). Putrajaya: Malaysia’s new federal administrative capital. Cities, 27(4), 285-297. DOI: http://dx.doi.org/10.1016/j.cities.2009.11.002 DOI: https://doi.org/10.1016/j.cities.2009.11.002

Mustafa, M. (2009). Public Art in the Federal Territory of Putrajaya: Questions of Value and Role. Wacana Seni Journal of Art Discourse, 8.

Myers, S.S., & Bernstein, A. (2011). The coming health crisis: indirect health effects of global climate change. F1000 Biology Reports, 3. DOI: https://doi.org/10.3410/B3-3

Qin, Z., Karnieli, A., & Berliner, P. (2001). A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22(18), 3719-3746. DOI: https://doi.org/10.1080/01431160010006971

Roberts, S. (2004). Interactions between particulate air pollution and temperature in air pollution mortality time series studies. Environmental research, 96(3), 328-337. DOI: https://doi.org/10.1016/j.envres.2004.01.015

Santamouris, M., & Asimakopoulos, D.N. (2001). Energy and climate in the urban built environment: Earthscan/James & James.

Taha, H., & Sailor, D. (2010). Evaluating the Effects of Radiative Forcing Feedback in Modelling Urban Ozone Air Quality in Portland, Oregon: Two-Way Coupled MM5–CMAQ Numerical Model Simulations. Boundary-Layer Meteorology, 1-15. DOI: https://doi.org/10.1007/s10546-010-9533-9

Tomlinson, C.J., Chapman, L., Thornes, J.E., & Baker, C.J. (2011). Including the urban heat island in spatial heat health risk assessment strategies: a case study for Birmingham, UK. International Journal of Health Geographics, 10(1), 42. DOI: https://doi.org/10.1186/1476-072X-10-42

Vermeer, M., & Rahmstorf, S. (2009). Global sea level linked to global temperature. Proceedings of the National Academy of Sciences, 106(51), 21527-21532. DOI: https://doi.org/10.1073/pnas.0907765106

Voogt, J.A., & Oke, T.R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370-384. DOI: https://doi.org/10.1016/S0034-4257(03)00079-8

Zha, Y., Gao, J., & Ni, S. (2003). Use of normalized difference built-up index in automatically mapping urban areas from TM imagery. International Journal of Remote Sensing, 24(3), 583-594. DOI: https://doi.org/10.1080/01431160304987

Downloads

Published

2018-08-24

How to Cite

[1]
Salleh, S.A. et al. 2018. Land Covers and Climate Impacts on Land Surface Temperature in Putrajaya, Malaysia. Asian Journal of Environment-Behaviour Studies. 3, 10 (Aug. 2018), 78–88. DOI:https://doi.org/10.21834/aje-bs.v3i10.315.

Similar Articles

<< < 1 2 3 4 5 6 7 8 > >> 

You may also start an advanced similarity search for this article.