Soil water infiltration observation with microwave radiometers

Jackson, T.; Schmugge, T. J.; O'Neill, Peggy E.; Parlange, Marc B.

doi:10.1109/36.718838

Cited by 14 publications

(10 citation statements)

References 20 publications

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“…It is likely that all these effects obtained with the coherent model are due to coherent interference effects. The pattern of oscillation corresponding that these "peaks" is similar to that predicted by coherent radiative transfer models for a layered media with sharp dielectric boundaries [21,22], such as the soil-litter and litter-air interfaces considered in this study.…”

Section: Simulation Of the "Les Landes" Surface Microwave Emissivitysupporting

confidence: 75%

“…However simulations based on that model are not sensitive to coherent effects. Even if coherent effects in natural media are probably attenuated due to (i) heterogeneities within the medium, (ii) roughness characteristics (at the soil-litter and litter-air interfaces) and (iii) litter thickness variations (in relation with rough interfaces), as noted above, these effects may not be negligible and their effects have already been observed from experimental data (Jackson et al, for instance [22]). …”

Section: Microwave Modelsmentioning

confidence: 99%

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Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

Demontoux

Crom

Ruffié

et al. 2008

Eur. Phys. J. Appl. Phys.

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Abstract. In order to improve our knowledge of the emitted signal of forests at L-band (1.4 GHz) we focused this study on permittivity measurements of heterogenic natural media such as soil or litter consisting of plant debris and organic matter. This study was done in the context of the upcoming SMOS (Soil Moisture and Ocean Salinity) satellite mission that will attempt to map surface soil moisture from L-band (1.4 GHz) passive microwave measurements. In the field of passive microwaves, very little information exists about the behaviour of the L-band signal of forests especially when litter is included in the soil-vegetation system. To date very few analyses have investigated the dielectric behaviour of the litter layer and its influence on the microwave emission of forests is generally neglected. This paper describes a technique used to measure the permittivity of soil and litter with a rectangular waveguide taking into account the heterogeneity of the media. The study was based on soil and litter samples collected in the coniferous forest of Les Landes, near Bordeaux, France. Particular attention was given to the impact of measurement errors on the calculation of permittivity. The measurements of the soil and litter dielectric constants were then used in a numerical model to simulate the microwave emissivity of the soil-litter system. As an example, it is shown that error in measurements lead to variations in the emissivity calculations of up to 0.025 at maximum (for an emissivity of 0.73, SM = 30%), which equals a total error of 3.36% of the calculated soil-litter emissivity.It was found that variations in the litter dielectric constant and layer thickness have a strong influence on the calculation of forest ground emissivity. As an example a 3 cm litter thickness can lead to a change of ∼0.15 between the soil and the soil-litter system emissivity (which equals an increase of about 20.4% in terms of surface emissivity).

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Section: Simulation Of the "Les Landes" Surface Microwave Emissivitysupporting

confidence: 75%

Section: Microwave Modelsmentioning

confidence: 99%

Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

Demontoux

Crom

Ruffié

et al. 2008

Eur. Phys. J. Appl. Phys.

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“…Using this data, they were able to quantify the drainage from the surface to the deeper layers. More recently, Jackson et al [1998] used ground‐based L and S band microwave radiometers to monitor soil moisture content during and following irrigation at the plot scale. These measurements suggested the presence of a sharp dielectric boundary that moved downward with time, suggesting the presence of an infiltration front.…”

Section: Estimating Hydrological Fluxesmentioning

confidence: 99%

On the value of soil moisture measurements in vadose zone hydrology: A review

Vereecken

Huisman

Bogena

et al. 2008

Water Resources Research

638

475

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[1] We explore and review the value of soil moisture measurements in vadose zone hydrology with a focus on the field and catchment scales. This review is motivated by the increasing ability to measure soil moisture with unprecedented spatial and temporal resolution across scales. We highlight and review the state of the art in using soil moisture measurements for (1) estimation of soil hydraulic properties, (2) quantification of water and energy fluxes, and (3) retrieval of spatial and temporal dynamics of soil moisture profiles. We argue for the urgent need to have access to field monitoring sites and databases that include detailed information about variability of hydrological fluxes and parameters, including their upscaled values. In addition, improved data assimilation methods are needed that fully exploit the information contained in soil moisture data. The development of novel upscaling methods for predicting effective moisture fluxes and disaggregation schemes toward integrating large-scale soil moisture measurements in hydrological models will increase the value of soil moisture measurements. Finally, we recognize a need to develop strategies that combine hydrogeophysical measurement techniques with remote sensing methods.

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“…Although dense vegetative canopies often mask the radiative flux from the soil (Teng et al, 1993), some models can filter out the effects of vegetation with low biomass (Jackson and Schmugge, 1991). Microwave derived soil moisture has been applied to characterize a range of hydrologic processes, including evapotranspiration (Kustas et al, 1993), landslide potential (Pelletier et al, 1997), and infiltration (Jackson et al, 1998). Of particular interest is the use of aircraft remote sensing data by Goodrich et al (1994) to predict runoff from a rainfall runoff model.…”

Section: Introductionmentioning

confidence: 99%

IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE¹

Jacobs¹,

Myers²,

Whitfield

2003

J American Water Resour Assoc

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Remotely sensed soil moisture data measured during the Southern Great Plains 1997 (SGP97) experiment in Oklahoma were used to characterize antecedent soil moisture conditions for the Soil Conservation Service (SCS) curve number method. The precipitation‐adjusted curve number and the soil moisture were strongly related (r2= 0.70). Remotely sensed soil moisture fields were used to adjust the curve numbers and the runoff estimates for five watersheds, in the Little Washita watershed; the results ranged from 2.8 km2 to 601.6 km2. The soil moisture data were applied at two spatial scales, a finer one (800 m) measuring spatial resolution and a coarser one (28 km). The root mean square error (RMSE) and the mean absolute error (MAE) of the runoff estimated by the standard SCS method was reduced by nearly 50 percent when the 800 m soil moisture data were used to adjust the curve number. The coarser scale soil moisture data also significantly reduced the error in the runoff predictions with 41 percent and 28 percent reductions in MAE and RMSE, respectively. The results suggest that remote sensing of soil moisture, when combined with the SCS method, can improve rainfall runoff predictions at a range of spatial scales.

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Soil water infiltration observation with microwave radiometers

Cited by 14 publications

References 20 publications

Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

On the value of soil moisture measurements in vadose zone hydrology: A review

IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE¹

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Soil water infiltration observation with microwave radiometers

Cited by 14 publications

References 20 publications

Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

Electromagnetic characterization of soil-litter media: application to the simulation of the microwave emissivity of the ground surface in forests

On the value of soil moisture measurements in vadose zone hydrology: A review

IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE1

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IMPROVED RAINFALL/RUNOFF ESTIMATES USING REMOTELY SENSED SOIL MOISTURE¹