Authors:
Nur Adilla Nordin,Zaharah Mohd Yusoff,Nor Aizam Adnan,Ainon Nisa Othman,DOI NO:
https://doi.org/10.26782/jmcms.2019.03.00074Keywords:
Built-up, LST,and use land cover,Linear regression ,Abstract
Shah Alam is one of the regions which has a dense population and high level of urbanization in Malaysia. The study assumed high urbanization leads to the increase of temperature. The aim is to study the trend and relationship between Land Surface Temperature (LST) with built-up areas and Normalized Difference Vegetation Index (NDVI) in three different years (1997, 2007, 2017) in Shah Alam, Selangor. This study used Geographical Information System (GIS) and Remote Sensing software to process satellite imagery data (Landsat 5 TM, 7 ETM+, 8 OLI). Built-up area was processed using Principal Component Analysis (PCA) from Landsat 8 (OLI) while the land use land cover was processed using Supervised Classification method. The results were analyzed using linear regression analysis in the Statistical Package of the Social Science (SPSS) to describe the relationship of the LST with built-up area and NDVI. The highest LST distribution of 35.717ºC is recorded in 2017. This indicates that built-up area gives more impact to the increase of LST in Shah Alam despite NDVI having the highest correlation relationship as shown by the values of R² which are 0.557, 0.533, and 0.585 for year 1997, 2007, and 2017 respectively. This paper focused on the changes of land use land cover for built-up area (i.e. residential and industrial area) which have increased from year 1997 to 2017. In year 1997, the percentage of built-up area is 36.69% and it has increased to 44.36% in year 2017. The study can conclude that urban built-up is one of the major factors in the increasing LST.Refference:
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