The application of remote sensing and GIS techniques for monitoring urban heat island in the Malaysian cities / Associate Professor Dr Wan Mohd Naim Wan Mohd, Associate Professor Abdul Malek Mohd Noor and Suhaila Hashim

• Main Authors: Wan Mohd, Wan Mohd Naim (Assoc. Prof. Dr.), Mohd Noor, Abdul Malek (Associate Professor Dr), Hashim, Suhaila
• Format: Research Reports
• Language: English
• Published: 2005
• Subjects: Geographic information systems; Remote sensing
• Online Access: https://ir.uitm.edu.my/id/eprint/49547/1/49547.pdf; https://ir.uitm.edu.my/id/eprint/49547/
• Institution: Universiti Teknologi Mara

Urban Heat Island is a reflection of microclimate changes brought about by the man-made alterations to the urban surfaces. Recent studies have indicated that satellite remote sensing and Geographical Information System (GIS) technologies inherently suited to study the relationship between land cover changes and surface temperature. This study have three main objectives, that is, i) to identify the relationship between LANDSAT satellite Digital Number (DN) and the surface temperature, ii) to identify the surface temperature of different land cover types, and iii) to analyse the effect of vegetation and building properties to the surrounding surface temperature. The Klang Valley Region has been selected as the study area. For a more detailed study, four smaller areas within this region have been selected as sub-study areas. These sub-study areas are located in the city of Kuala Lumpur (3 areas) and the other is located within the City of Shah Alam. LANDSAT 5 Thematic Mapper (TM) and LANDSAT 7 Enhance Thematic Mapper Plus (ETM+) images of four different dates i.e. the 11th of February 1999, 15th of July 2000, 31st of May 2001 and 20th of September 2001 acquired from the Malaysian Centre for Remote Sensing (MACRES) are used in the study. Surface temperature maps and land use/land cover maps are generated from these satellite images. For a more detailed study on the effect of the surrounding vegetation and building properties (different roof types), scanned aerial photo, QuickBird and SPOT 4 satellite images are used as image backdrop. Findings from this research have shown that there is a strong correlation between the digital number of the thermal infrared band of LANDSAT satellite image of the 15th of July 2000. The correlations for the three other datasets are not so strong. The temperature derived from the model obtained from this research is almost similar to that of other established models such as Markham and Barker's Model, Quadratic Regression Model, and Cubic Regression Model. Temperature maps derived from satellite images have shown the differences in surface temperature for different land use, with forested or green areas and industrial areas exhibit the lowest and highest temperature respectively. The effect of different roof type, vegetation and water bodies on the surrounding surface temperature is clearly evident in this study.