Calculations of the Microwave Brightness Temperature of Rough Soil Surfaces: Bare Field

Mo, Tsan; Schmugge, Thomas J.; Wang, James R.

doi:10.1109/tgrs.1987.289780

Cited by 65 publications

(11 citation statements)

References 20 publications

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“…A commonly used semiempirical approach for soil emission is the Wang and Choudhury model [2], [19]. However, roughness effects can be different at horizontal polarization (H-pol) and vertical polarization (V-pol) [9], [15], although this model does not account for this difference of behavior. Furthermore, the experimental datasets for studying bare soil emission were focused on a limited number of incidence angles [14], [22] not fully covering the SMOS angular range.…”

Section: Introductionmentioning

confidence: 99%

A Simple Model of the Bare Soil Microwave Emission at L-Band

Escorihuela

Kerr

Rosnay

et al. 2007

IEEE Trans. Geosci. Remote Sensing

120

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A simple reflectivity model of a bare soil at L-band is developed to account for the effects of soil roughness at different angles and polarizations. This model was developed using a long-term dataset acquired over the bare soil in the framework of the Surface Monitoring Of the Soil Reservoir EXperiment (SMOSREX). It is shown that the roughness effects are different depending on the measurement configuration, in terms of incidence angle and polarization. However, in this paper, a simple parameterization that is based on a single roughness parameter was calibrated in order to account for this angular and polarization dependencies. This parameter was found to be dependent on soil moisture: drier conditions were associated to higher "roughness" conditions. The root-mean-square error between the measured and modeled reflectivities on days when no precipitation events were detected at vertical polarization (V-pol) is 0.0275, and at horizontal polarization (H-pol), the rmse is 0.0237; all incidence angles were considered. When all data are considered, the rmsd for V-pol is 0.0350, and for H-pol, the rmse is 0.0373. This new simple model is suitable for soil moisture retrieval from Soil Moisture and Ocean Salinity data. By means of this simple parameterization, almost two years of soil moisture data were retrieved with a good accuracy. The SMOSREX dataset allowed to ensure a long-term suitability of the proposed parameterization.

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Section: Introductionmentioning

confidence: 99%

A Simple Model of the Bare Soil Microwave Emission at L-Band

Escorihuela

Kerr

Rosnay

et al. 2007

IEEE Trans. Geosci. Remote Sensing

120

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show abstract

“…In this case the transfer function from smooth surface reflectivity (computed using Fresnel equation, see, e.g., Njoku & Entekhabi, 1996) to rough surface reflectivity can be accomplished using only geometric variables, such as root mean square and correlation length of surface height variability (Mo, Schmugge, & Wang, 1987). Additionally, a rough surface can cause variable degrees of polarization mixing (Wang & Choudhury, 1981).…”

Section: Surface Roughnessmentioning

confidence: 99%

Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign

Colliander

Njoku

Jackson

et al. 2016

Remote Sensing of Environment

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“…Understanding of electromagnetic wave scattering and emission from a two-dimensional inhomogeneous dielectric rough surface are of interest to both remote sensing (soil moisture, sea ice, frozen land, etc.) and optical imaging [1][2][3][4][5][6][7][8][9][10][11][12]. Among the various numerical methods, Pelosi and Coccioli [13] applied a finite element method based on perturbation formulation to deal with one-dimensional slightly rough surfaces with multiple scattering being neglected.…”

Section: Introductionmentioning

confidence: 99%

Microwave Emission From Two-Dimensional Inhomogeneous Dielectric Rough Surfaces Based on Physics-Based Two-Grid Method

Chen¹,

Tsang²,

Shi³

2007

PIER

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Abstract-Numerical simulations of emission for two-dimensional randomly rough surfaces with an inhomogeneous layered medium are presented. The inhomogeneous layered medium is modeled by a generalized n-layered stratified media. The numerical method was adopted from the physics-based two-grid method (PBTG). To ensure the strict accuracy requirement while to relief the memory and CPU resources, the PBTG in conjunction with the sparse-matrix canonical grid method (SMCG) was used in this paper. In so doing the reflected terms of the dyadic Green's function that accounts for layered media were added into the integral equations governing the surface tangential fields. Since the reflected part of the dyadic Green's function does not contain any singularity, the normal components of the fields remain the same as in the case of homogeneous surfaces. It was found that the elements of Green's tensor are only important to the near-field since they decay very fast as spatial distance goes beyond a few wavelengths. The resulting integral equations are then solved by the Method of Moment (MoM). Comparisons between the inhomogeneous and the homogeneous rough surfaces suggest that the presence of the inhomogeneous layered medium has non-negligible contributions to emission, depending on the dielectric gradient and is polarization dependent.

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Calculations of the Microwave Brightness Temperature of Rough Soil Surfaces: Bare Field

Cited by 65 publications

References 20 publications

A Simple Model of the Bare Soil Microwave Emission at L-Band

A Simple Model of the Bare Soil Microwave Emission at L-Band

Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign

Microwave Emission From Two-Dimensional Inhomogeneous Dielectric Rough Surfaces Based on Physics-Based Two-Grid Method

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