• Ricky Anak Kemarau Faculty of Social Science and Humanities, University of Malaysia Sabah, 88400, Sabah, Malaysia.
  • Oliver Valentine Eboy Faculty of Social Science and Humanities, University of Malaysia Sabah, 88400, Sabah, Malaysia.
Keywords: LST, Land cover, Surface urban heat island, Remote Sensing, GIS


Wetlands are a vital component of land cover in reducing impacts caused by urban heat effects and climate change. Remote sensing technology provides historical data that can study the impact of development on the environment and local climate. The studies of wetland in reducing Land Surface Temperature (LST) in a tropical climate are still lacking. The objective of the study is to examine the influence of land cover change wetland and vegetation on land surface temperature between the years 1988 and 2019. First of all, step, pre-processing, namely geometric correction, atmosphere correction, and radiometric correction, were performed before retrieval of the LST dataset from thermal band Landsat 5 and 8. Then, Iso Cluster, unsupervised was chosen to produce the land cover map for 1988 and 2019. Geographical Information System (GIS) technology was utilized to determine changes to land cover and LST change between the years 1988 and 2019. With GIS technology, a study of the impact of wetland deforestation on local temperatures at a local scale was carried out. Next to that, correlations between LST and the wetland were analyzed. The results indicated the different land cover between the years 1988 and 2019. The areas of land cover for wetland and vegetation decrease and while area of urban increased. The land cover changed the influences of LST significantly in the study area. The LST increased with the decreasing in areas wetland areas for every 5-kilometer square (km²) wetland lost an increase in 1-degree Celsius of LS was estimated. The size of wetland influence on LST was significant. Wetland and vegetation function in reducing the urban heat island effect was vital in providing a comfortable environment to the Kuching population and indirectly reduce the demand for power energy.


Board M E A. (2005). Ecosystems and Human Well-Being: Wetlands and Water Synthesis.

Guo, M., Li, J., Sheng, C., Xu, J., Wu, L., (2017). A review of wetland remote sensing. Sensors 17, 777.

Díaz-Delgado, R., Aragon, D., Afn, I., Bustamante, J., (2016). Long-term monitoring of the flooding regime and hydroperiod of Do nana marshes with Landsat time series (1974-2014). Remote Sens. 8, 775.

Betbeder, J., Rapinel, S., Cologne, S., Pottier, E., Hubert-Moy, L., (2015). TerraSAR-X dual-pol time-series for mapping of wetland vegetation. ISPRS J. Photogramm. Remote Sens. 107, 90-98.

Anderson, M.C., Allen, R.G., Morse, A., Kustas, W.P., (2012). Use of Landsat thermal imagery in monitoring evapotranspiration and managing water resources. Remote Sens. Environ. 122, 50-65.

Chen Y. (1999). The trends of global change research in China. Advance in Earth Sciences, 14(4): 319-323.

Luyssaert, S., Jammet, M., Stoy, P.C., Estel, S., Pongratz, J., Ceschia, E., Churkina, G., Don, A., Erb, K., Ferlicoq, M., Gielen, B., Grunwald, T., Houghton, R.A., Klumpp, K., Knohl, A., Kolb, T., Kuemmerle, T., Laurila, T., Lohila, A., Loustau, D., McGrath, M.J., Meyfroidt, P., Moors, E.J., Naudts, K., Novick, K., Otto, J., Pilegaard, K., Pio, C.A., Rambal, S., Rebmann, C., Ryder, J., Suyker, A.E., Varlagin, A., Wattenbach, M., Dolman, A.J., (2014). Land management and land-cover change have impacts of similar magnitude on surface temperature. Nat. Clim. Change 4, 389-393.

Lofgren, B. M. (1997). Simulated effects of idealized Laurentian Great Lakes on regional and large-scale climate. Journal of Climate, 10(11): 2847-2858.<2847:SEOILG>2.0.CO;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 of environment, 104(2): 133-146.

Du, J., Song, K., & Yan, B. (2019). Impact of the Zhalong Wetland on Neighboring Land Surface Temperature Based on Remote Sensing and GIS. Chinese Geographical Science, 29(5), 798-808.

Song C. (2003). Advance in research on carbon cycling in wetlands. Scientia Geographica Sinica, 23(5): 622-628.

Nie, X., Wang Y., (2010). 'Cold-humidity Island' effect of marsh wetlands on localized micro-climate. Journal of Ecology and Rural Environment, 26(2): 189-192.

Chuan, T., Congsheng, Z. (2006). Review and analysis of carbon cycling and carbon balance model in the wetland's ecosystem. Journal of Subtropical Resources and Environment, 1(3): 84-92.

Caia, Y., Chen, Y., Tong, C. (2019). Spatiotemporal evolution of urban green space and its impact on the urban thermal environment based on remote sensing data: A case study of Fuzhou City, China. Urban Forestry & Urban Greening, 41(2019) 33-343.

Yang, J., Sun, J., Ge, Q.S., Li, X.M. (2017). Assessing the impacts of urbanization-associated green space on urban land surface temperature: a case study of Dalian, China. Urban For. Urban Gree. 22, 1-10.

Yu, Z.W., Guo, X.Y., Zeng, Y.X. (2018). Variations in land surface temperature and cooling efficiency of green space in rapid urbanization: The case of Fuzhou city, China. Urban For. Urban Gree. 29, 113-121.

Sa'adi, Z., Shahid, S., Ismail, T., Chung, E.S., and Wang, X.J. (2017). Distributional Changes in Rainfall and River Flow in Sarawak, Malaysia. Asia-Pac. J. Atmos. Sci., 53(4), 489-500.

United Nations (UN), (2018). World Urbanization Prospects: The 2018 Revision (In).

Zhou, D, Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Z., Frolking, S., Yao, R., Qiao, Z., and Sobrino, J.A. (2019). Satellite Remote Sensing of Surface Urban Heat Islands: Progress, Challenges, and Perspectives. Remote Sens. 2019, 11,

Kemarau, R. A., & Eboy, O. V. (2020). Urbanization and it impacts to land surface temperature on small medium size city for year 1991, 2011 and 2018: Case study Kota Kinabalu. Journal of Borneo Social Transformation Studies, 6(1), 58-76.

How to Cite
Kemarau , R. A., & Eboy, O. V. (2021). STUDY INFLUENCE OF LAND COVER CHANGE IN WETLAND AND VEGETATION ON LAND SURFACE TEMPERATURE. Journal of Civil Engineering, Science and Technology, 12(2), 66-74.