Land surface temperature (LST) from satellite data is a challenging task due to the atmospheric absorption and diversification of earth surface emissivity. The analysis show that land surface temperature influenced by water content or vegetation condition. The combination of HDF Explorer and ArcGIS software was useful for automatically processing the pixel latitude, longitude and brightness temperature (BT) information from the ASTER HDF and Landsat imagery files. Forest areas with more moisture and water body have shown smaller temperature than settlements.
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