Global warming is the significant environmental problem which currently and
greatly affects the humanity. All countries realize sucha problem and try to find solutions.
Remote sensing technology has become an effective supporting tool for researching and
monitoring the problem. The satellite data are exploited to apply to estimate land and water
surface temperature changes as well as global changes measuring. Since satellite data are
available for large areas, multi-temporal dataand multi-spectral bands. The purpose of this
research is to apply band 6 of Landsat-5 Thematic Mapper (TM) data to estimate Land Surface
Temperature (LST) by using Single-Channel algorithm and band 3, 4, 5 are used for land use
classification by using maximum likelihood algorithm. Estimated LST data was overlaid on
classified land use data to examine the Urban Heat Island (UHI) phenomenon. The result of LST
showed that the urban LST was higher than suburban temperature which demonstrated clearly
UHI phenomenon in Khon Kaen Province.