Thermal infrared multispectral sensor data should be atmospherically corrected for estimating surface temperature and spectral emissivity. For land observations , a common method for it is using transmittance, path radiance and sky radiance estimated by a radiative transfer code such as MODTRAN. However , this method has the disadvantage that it requires both the atmospheric profile data simultaneously observed and the digital elevation model (DEM); if the quality of these data is low , the

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... spherically corrected data is unreliable. We will, therefore, suggest a new method for estimating atmospheric correction parameters , surface temperature and spectral emissivity without the atmospheric profile data and the DEM .