DocumentCode
765843
Title
Two-dimensional finite-difference modeling of media with inclined uniaxial conductivity with an equivalent biaxial conductivity tensor for homogeneous TM-type wave propagation problems
Author
Wilson, Glenn A. ; Thiel, David V.
Author_Institution
Sch. of Microelectron. Eng., Griffith Univ., Brisbane, Qld., Australia
Volume
41
Issue
7
fYear
2003
fDate
7/1/2003 12:00:00 AM
Firstpage
1719
Lastpage
1723
Abstract
The principle of numerically modeling the surface impedance of a homogeneous transverse magnetic (TM)-type plane wave incident upon an inhomogeneous half-space with inclined uniaxial electrical anisotropy as an equivalent half-space with fundamental electrical biaxial anisotropy is demonstrated. The self-consistent impedance method is introduced and shown to accurately model the surface impedance response of these two-dimensional (2-D) induction problems at low frequencies relevant to surface impedance geophysics, though there is inaccuracy in the surface impedance phase as the frequency is increased. While the impedance method has been introduced to demonstrate this modeling concept, the modeling principles introduced can be applied to other 2-D numerical methods.
Keywords
backscatter; finite difference methods; geophysical techniques; radar cross-sections; radar theory; remote sensing by radar; terrain mapping; terrestrial electricity; EM wave scattering; TM type wave; TM wave; backscatter; equivalent biaxial conductivity tensor; finite difference model; geoelectric; geology; geophysical measurement technique; homogeneous propagation problem; inclined uniaxial conductivity; land surface; numerical model; radar remote sensing; radar scattering; radar theory; sedimentary rock; terrain mapping; terrestrial electricity; two dimensional model; Anisotropic magnetoresistance; Conductivity; Finite difference methods; Frequency; Impedance measurement; Magnetic anisotropy; Numerical models; Surface impedance; Surface waves; Tensile stress;
fLanguage
English
Journal_Title
Geoscience and Remote Sensing, IEEE Transactions on
Publisher
ieee
ISSN
0196-2892
Type
jour
DOI
10.1109/TGRS.2003.814915
Filename
1221851
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