DocumentCode :
2200699
Title :
Numerical computation of the L-band emission and scattering of soil layers with consideration of moisture and temperature gradients
Author :
Demontoux, F. ; Lawrence, H. ; Wigneron, J.-P. ; Mironov, V.L. ; Kosolapova, L.G. ; Paillou, Ph ; Kerr, Y.
Author_Institution :
MCM Dept., Univ. of Bordeaux 1, Bordeaux, France
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
20
Lastpage :
23
Abstract :
In the context of the Soil Moisture and Ocean Salinity mission, we present a study of the emission of rough surfaces at 1.4 GHz and the effects of moisture and temperature gradients. A new approach for the calculation of rough surface scattering and emission at L-band has been validated for the case of scattering from rough surfaces of Gaussian autocorrelation function. This approach relies on the use of ANSYS´s numerical computation software HFSS, which in turn solves Maxwell´s equations using the Finite Element Method. The interest of this approach is that it can be extended to calculate the emission and scattering of complicated multilayer media. In this paper we present the work we done to use FEM method to compute thermal effects and water infiltration effects in ground. We firstly present the effects of water infiltration in ground then we present results of computations on soils partially or completely frozen.
Keywords :
Maxwell equations; finite element analysis; geophysical techniques; geophysics computing; rough surfaces; soil; terrestrial heat; ANSYS numerical computation software HFSS; FEM method; Gaussian autocorrelation function; L-band emission; L-band scattering; Maxwell equations; Soil Moisture and Ocean Salinity mission; finite element method; frequency 1.4 GHz; multilayer media; rough surface emission; rough surface scattering; soil layers; temperature gradients; thermal effects; water infiltration effects; Moisture; Numerical models; Rough surfaces; Scattering; Soil; Surface roughness; Temperature measurement; SMOS; emission; moisture; soil; temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6350887
Filename :
6350887
Link To Document :
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