DocumentCode :
1327280
Title :
A physics-based algorithm for retrieving land-surface emissivity and temperature from EOS/MODIS data
Author :
Wan, Zhengming ; Li, Zhao-Liang
Author_Institution :
ICESS, California Univ., Santa Barbara, CA, USA
Volume :
35
Issue :
4
fYear :
1997
fDate :
7/1/1997 12:00:00 AM
Firstpage :
980
Lastpage :
996
Abstract :
The authors have developed a physics-based land-surface temperature (LST) algorithm for simultaneously retrieving surface band-averaged 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 recession method and the least-squares fit method. This new LST algorithm was tested with simulated MODIS data for 80 sets of hand-averaged 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 noise-equivalent temperature difference (NEΔT) 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 0.4-0.5 K over a wide range of surface temperatures for mid-latitude summer conditions. The standard deviations of errors in retrieved emissivities in bands 31 and 32 (in the 10-12.5 μm IR spectral window region) are 0.009, and the maximum error in retrieved LST values falls between 2-3 K
Keywords :
atmospheric boundary layer; atmospheric techniques; atmospheric temperature; geophysical techniques; radiometry; remote sensing; terrestrial heat; 1000 to 14000 nm; EOS; MODIS; Moderate Resolution Imaging Spectroradiometer; algorithm; atmosphere; boundary layer; geophysical measurement technique; geothermal measurement; infrared remote sensing; land surface; land-surface emissivity; meteorology; physics-based algorithm; satellite remote sensing; surface emissivity; temperature; terrain mapping; terrestrial heat; thermal infrared bands; Calibration; Image retrieval; Information retrieval; Infrared imaging; Infrared spectra; MODIS; Surface fitting; Temperature dependence; Temperature distribution; Temperature sensors;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/36.602541
Filename :
602541
Link To Document :
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