CLASSIFICATION-BASED EMISSIVITY FOR LAND-SURFACE TEMPERATURE-MEASUREMENT FROM SPACE

Classification-based global emissivity is needed for the National Aero nautics and Space Administration Earth Observing System Moderate Resol ution Imaging Spectrometer (NASA EOS/MODIS) satellite instrument land surface temperature (LST) algorithm. It is also useful for Landsat, th e Advanced Very High Resolution Radiometer (AVHRR) and other thermal i nfrared instruments and studies. For our approach, a pixel is classifi ed as one of fourteen 'emissivity classes' based on the conventional l and cover classification and dynamic and seasonal factors, such as sno w cover and vegetation index. The emissivity models we present provide a range of values for each emissivity class by combining various spec tral component measurements with structural factors. Emissivity statis tics are reported for the EOS/MODIS channels 31 and 32, which are the channels that will be used in the LST split-window algorithm.