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2012
DOI: 10.1109/tgrs.2012.2189776
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Electromagnetic Scattering of Randomly Rough Soil Surfaces Based on Numerical Solutions of Maxwell Equations in Three-Dimensional Simulations Using a Hybrid UV/PBTG/SMCG Method

Abstract: A hybrid UV/PBTG/SMCG method is developed to accelerate the solution of NMM3D for 3-D electromagnetic wave scattering by random rough soil surfaces. It takes only 1.5 min using 16 processors on a cluster of NSF TeraGrid to compute 3-D solution of Maxwell equations of 8 by 8 square wavelengths. With the improved computational efficiency, we computed results using areas up to 32 by 32 square wavelengths. With the larger surface area, we were able to compute cases with larger rms heights up to 8 cm at SMAP radar … Show more

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Cited by 67 publications
(34 citation statements)
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References 14 publications
(5 reference statements)
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“…Furthermore, ice lenses formed during the ephemeral F/T events in winter can lead to important dielectric discontinuities in the snowpack, causing also possible coherence effects that can have a notable impact on T B [37][38][39]. Further evaluation using multi-layer snow radiative transfer models [40,41] need to better quantify and understand these variations.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, ice lenses formed during the ephemeral F/T events in winter can lead to important dielectric discontinuities in the snowpack, causing also possible coherence effects that can have a notable impact on T B [37][38][39]. Further evaluation using multi-layer snow radiative transfer models [40,41] need to better quantify and understand these variations.…”
Section: Discussionmentioning
confidence: 99%
“…The convergence of the integration with regard to the number of points used has been checked. To calculate the bistatic scattering coefficient γ we use the distorted Born approximation for the vegetation volume scattering and NMM3D [11] for coherent reflectivity and bistatic rough surface scattering of the soil surface. In the derivations below, the crucial assumptions are: (1) the vegetation scatterers are uniformly distributed in the vegetation layer; (2) each type of vegetation scatterer, such as stalks or leaves, is statistically identical in terms of the size, shape and permittivity; (3) there is no correlation between the scattered fields of different vegetation scatterers, hence the incoherent model can be used; and (4) the first-order scattering contributions are significantly larger than the high-order scattering contributions in the vegetation, such that a single scattering approximation is applicable.…”
Section: Combined Active and Passive Model (Nmm3d-dba)mentioning
confidence: 99%
“…Thus, empirical "best-fit" parameters rather than physical parameters are used in the tau-omega model. For active remote sensing modelling, we previously used the distorted Born approximation (DBA) [10] and the numerical solutions of the Maxwell equations (NMM3D) [11] (this method is called NMM3D-DBA for short), where the coherent reflectivity and rough surface scattering are calculated by NMM3D [12]. This model was used to calculate the V V and HH backscatter at L-band for pasture [13], wheat, winter wheat and canola fields.…”
Section: Introductionmentioning
confidence: 99%
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“…To extend the validity region, numerical methods including the Method of Moments (MoM), 3D Numerical Method of Maxwell's equations (NMM3D) [22], Advanced Integral Equation Method (AIEM) [23,24], and Extended Boundary Condition Method (EBCM) [25][26][27][28], etc. have been developed.…”
Section: Introductionmentioning
confidence: 99%