Eight-Day Daytime Land Surface Temperature Pattern over Peninsular Malaysia
Nur Arzilah Ismail1, Wan Zawiah Wan Zin, Wan Ibrahim2, Liong Choong Yeun3
1Nur Arzilah Ismail*, School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia,
2Bangi, Selangor, Malaysia. Wan Zawiah Wan Zin @ Wan Ibrahim, School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
3Liong Choong Yeun, School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 11949-11955 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9911118419/2019©BEIESP | DOI: 10.35940/ijrte.D9911.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The monitoring of land surface temperature (LST) can assist scientists to better understand the possible effect of climate change on land cover types and in conducting appropriate analysis. The earth’s annual temperature has moved up and down a few degrees Celsius, including Malaysia, over the past few million years. The location of Malaysia near the equator line and experiences tropical monsoon season were important to take into consideration to the LST changes. In this paper, the eight-day LST time series data for 14-year period (Jan 2003 – Dec 2016) was downloaded from Moderate Resolution Imaging Spectroradiometer (MODIS) website with two types of satellites which are Terra and Aqua. This study focused on two gridded areas in Peninsular Malaysia; the first one which is exposed to North East monsoon, namely super region 21 and another one to South West monsoon, which is super region 26. These two areas are selected due to they being the largest land area covered within the grid relative to other grids. The objective of this study is to compare the eight- day daytime LST pattern between two monsoons with different land cover types for both satellites. Analysis such as cubic spline function with the annual periodic boundary condition and weighted least square (WLS) regression were performed to extract annual seasonal trend for the areas covered. The results of LST showed most of the gridded areas experience similar seasonal pattern for each year but different pattern were discovered when both monsoons were considered. Moreover, the LST trends also changed according to the land cover types over the study period.
Keywords: Cubic Spline, Gridded Data, Land Surface Temperature (LST), MODIS, Time Series, Terra and Aqua Satellites.
Scope of the Article: Frequency Selective Surface.