جمیل امان اللهی

The Main limitation of using remote sensing in tropical area like Malaysia is the cloud cover. In order to study land use, land cover and land surface temperature in Kuala Lumpur, the Landsat Thematic Mapper (TM), and Enhanced Thematic Mapper Plus (ETM+) were utilized. To remove the effect of cloud cover and image’s gaps on the images, the remote sensing data was converted to geographical information system (GIS). First, according to acceptable resolution of the study, points were created in GIS environment base on the study area coordinate and matched with thermal bands of the images in remote sensing environment. The points were matched with two images, one image with gaps line or cloud cover, and other image that was free of both matters. The digital numbers of free image were balanced with the first image. The new digital numbers were processed to extract of LST in GIS environment. Results showed that the conversion of forest to urban area is the main reason for the increase in temperature. Temperature decrease was observed when the bare land was converted to water like lake and retention pond. The temperature map of Kuala Lumpur showed the important parameters to assess the urban heat island (UHI), which are wind speed, wind direction and topography characteristics of the area.