A generalized split-window algorithm for retrieving land-surfacetemperature from space
Zhengming Wan
Dozier, J.
Inst. for Comput. Earth. Syst. Sci., California Univ., Santa Barbara, CA;
This paper appears in: Geoscience and Remote Sensing, IEEE Transactions on
Publication Date: Jul 1996
Volume: 34,
Issue: 4
On page(s): 892-905
ISSN: 0196-2892
References Cited: 65
CODEN: IGRSD2
INSPEC Accession Number: 5344324
Digital Object Identifier: 10.1109/36.508406
Posted online: 2002-08-06 20:28:16.0
Abstract
Proposes a generalized split-window method for retrieving
land-surface temperature (LST) from AVHRR and MODIS data. Accurate
radiative transfer simulations show that the coefficients in the
split-window algorithm for LST must vary with the viewing angle, if the
authors are to achieve a LST accuracy of about 1 K for the whole scan
swath range (±55° from nadir) and for the ranges of surface
temperature and atmospheric conditions over land, which are much wider
than those over oceans. The authors obtain these coefficients from
regression analysis of radiative transfer simulations, and they analyze
sensitivity and error over wide ranges of surface temperature and
emissivity and atmospheric water vapor abundance and temperature.
Simulations show that when atmospheric water vapor increases and viewing
angle is larger than 45°, it is necessary to optimize the
split-window method by separating the ranges of the atmospheric water
vapor, lower boundary temperature, and the surface temperature into
tractable subranges. The atmospheric lower boundary temperature and
(vertical) column water vapor values retrieved from HIRS/2 or MODIS
atmospheric sounding channels can be used to determine the range for the
optimum coefficients of the split-window method. This new algorithm not
only retrieves land-surface temperature more accurately, but is also
less sensitive to uncertainty in emissivity and to instrument
quantization error
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