AN APPLICATION OF REMOTELY SENSED DATA TO LAND SURFACE TEMPERATURE ESTIMATION

摘要

Global warming is the significant environmental problem which currently and greatly affects the humanity. All countries realize such a 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 data and 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.