DocumentCode
54114
Title
Modeling L-Band Brightness Temperature at Dome C in Antarctica and Comparison With SMOS Observations
Author
Leduc-Leballeur, Marion ; Picard, Ghislain ; Mialon, Arnaud ; Arnaud, Laurent ; Lefebvre, Eric ; Possenti, Philippe ; Kerr, Yann
Author_Institution
Lab. de Glaciologie et Geophys. de l´Environ., Univ. Grenoble Alpes, Grenoble, France
Volume
53
Issue
7
fYear
2015
fDate
Jul-15
Firstpage
4022
Lastpage
4032
Abstract
Two electromagnetic models were used to simulate snow emission at L-band from in situ measurements of snow properties collected at Dome C in Antarctica. Two different approaches were used: one based on the radiative transfer theory and the other on the wave approach. The soil moisture ocean salinity (SMOS) satellite observations performed at 1.4 GHz (21 cm) were used to check the validity of these models. Model results based on the wave approach were in good agreement with SMOS observations, particularly for incidence angles lower than 55°. Comparisons suggest that the wave approach is more suitable to simulate brightness temperature at L-band than the transfer radiative theory, because interference between the layers of the snowpack is better taken into account. The model based on the wave approach was then used to investigate several L-band characteristics at Dome C. The emission e-folding depth, i.e., 67% of the signal, was estimated at 250 m, and 99% of the signal emanated from the top 900 m. L-band brightness temperature is only slightly affected by seasonal variations in surface temperature, confirming the high temporal stability of snow emission at low frequency. Sensitivity tests showed that good knowledge of density variability in the snowpack is essential for accurate simulations in L-band.
Keywords
hydrological techniques; ocean waves; radiative transfer; remote sensing; snow; soil; Antarctica; Dome C; L-band brightness temperature; L-band characteristics; SMOS observations; brightness suggest snowpack; emission e-folding depth; incidence angles; radiative transfer theory; seasonal variations; snow emission stability; snow properties; snowpack variability density; soil moisture ocean salinity satellite observations; wave approach; Antarctica; Brightness temperature; Ice; L-band; Scattering; Snow; Temperature measurement; Microwave; radiative transfer (RT) theory; remote sensing; snow; wave theory;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2015.2388790
Filename
7031904
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