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| Titel |
Estimate of land surface temperature from Chinese second generation polar orbit FengYun meteorological satellite (FY-3) data |
| VerfasserIn |
B.-L. Tang, Z.-L. Li |
| Konferenz |
EGU General Assembly 2012
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 14 (2012) |
| Datensatznummer |
250061473
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| Zusammenfassung |
| This paper addressed the estimate of the Land Surface Temperature (LST) from the second
generation of Chinese polar orbit FengYun-3 (FY-3) meteorological satellite data in two
thermal infrared channels 4 (wavelength centred at 10.8 μm) and 5 (wavelength centred at
12.0 μm), using a split-window algorithm developed by Sobrino et al. (1993). The numerical
values of the split-window coefficients had been obtained using a statistical regression
method from synthetic data simulated with an accurate atmospheric radiative transfer model
MODTRAN 4 over a wide range of atmospheric and surface conditions. The LST,
mean emissivity, and atmospheric Water Vapor Content (WVC) were divided into
several tractable sub-ranges with little overlaps to improve the fitting accuracy.
The experimental results showed that the Root Mean Square Errors (RMSEs) are
proportional to Viewing Zenith Angles (VZAs) and WVC, and they are less than 1.0 K
for the sub-ranges with VZA less than 30Ë or for the sub-ranges with VZA less
than 60Ë and the atmospheric WVC less than 3.5 g/cm2, provided that the Land
Surface Emissivity (LSE) are known. A detailed sensitivity analysis in terms of the
uncertainty of the Land Surface Emissivity (LSE) and atmospheric WVC as well as the
instrumental noise had also been performed. In addition, a preliminary test, by taking into
account a simulated dataset different from that one used to obtain the algorithm, had
been done with the proposed LST split-window algorithm over a wide range of
atmospheric and surface conditions. The results showed that the split-window algorithm is
capable of producing LST from FY-3 satellite data with RMSE less than 1.0 K. |
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