

Wan, ZM, Li, ZL (1997). A physicsbased algorithm for retrieving landsurface emissivity and temperature from EOS/MODIS data. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 35(4), 980996. Abstract We have developed a physicsbased landsurface temperature (LST) algorithm for simultaneously retrieving surface bandaveraged emissivities and temperatures from day/night pairs of MODIS (Moderate Resolution Imaging Spectroradiometer) data in seven thermal infrared bands. The set of 14 nonlinear equations in the algorithm is solved with the statistical regression method and the leastsquares fit method, This new LST algorithm was tested with simulated MODIS data for 80 sets of bandaveraged emissivities calculated from published spectral data of terrestrial materials in wide ranges of atmospheric and surface temperature conditions. Comprehensive sensitivity and error analysis has been made to evaluate the performance of the new LST algorithm and its dependence on variations in surface emissivity and temperature, upon atmospheric conditions, as well as the noiseequivalent temperature difference (NE Delta T) and calibration accuracy specifications of the MODIS instrument. In cases with a systematic calibration error of 0.5%, the standard deviations of errors in retrieved surface daytime and nighttime temperatures fall between 0.40.5 K over a wide range of surface temperatures for midlatitude summer conditions. The standard deviations of errors in retrieved emissivities in bands 31 and 32 (in the 1012.5 mu m IR spectral window region) are 0.009, and the maximum error in retrieved LST values falls between 23 K. DOI:
ISSN: 01962892 