Experimental Assessment of Microwave Penetration Depth in Layered Soil by Wideband (0.3–6 GHz) Transmissometry and Reflectometry

The depth to which a Global Navigation Satellite System (GNSS) signal senses soil moisture is set by the electromagnetic power penetration depth (δp), the depth at which the power transmitted into the soil falls to 1/e, seldom measured directly and instead inferred from dielectric mixing models whose parameters are fitted to permittivity rather than to propagation through real, stratified soil. This work reports a controlled, wideband (0.3–6 GHz) Vector Network Analyzer (VNA) experiment in which two identical Left-Handed Circular Polarization (LHCP) spiral antennas measure the reflection (S11, S22) and transmission (S21) of a four-layer silt-loam soil column, a laboratory analogue of GNSS Reflectometry (GNSS-R) and GNSS Transmissometry (GNSS-T) geometries. Soil texture and per-layer moisture were measured, not assumed, with a layered-medium transfer-matrix forward model as the reference from which the depths are derived. In this monostatic, normal-incidence, same-hand circular arrangement the reflection channel was insensitive to the moisture profile due to helicity reversal on specular reflection suppressing the same-hand return by more than 15 dB, below the antenna’s own port reflection, whereas transmission preserved it. This is a configuration effect, not a general limitation of GNSS-R or of an opposite-hand dual-polarized reflectometer. Neither the Peplinski–Dobson nor the Mironov MBSDM model outperformed the other across all bands: Peplinski–Dobson fits best in 27 of the 48 moisture–band cells, whereas MBSDM performs best in the driest and two wettest states and in a few additional bins. Using the best-fitting model per band, and separating the parametric uncertainty of that model from the structural difference between the two, the model-derived δp decreases with moisture and frequency: under the driest evaluated state (volumetric moisture content mv=10.3%) it spans 26.4−1.5+1.8 cm at 868 MHz, a value higher than the 20 cm of soil actually sampled and therefore an extrapolation of the selected model, to 9.5−0.6+0.7 cm at 2.2 GHz, falling at mv=20.8% to 15.9−0.6+0.6 cm and 9.8−1.4+2.1 cm, respectively. At L1, L2, and L5 carriers, δp≈15–20 cm at mv=10.3% and δp≈5–7 cm at mv=41.3%. A second estimate, in which no dielectric model intervenes, is obtained from the wet-slab thickness sweep, the excess attenuation following from the slope of the differential transmissivity on propagation distance: at mv=22.9% it bounds δp from above at 20.9−1.8+2.2 cm at 868 MHz, 12.6−0.1+0.1 cm at L1, and 9.8−0.1+0.1 cm at 2.2 GHz, agreeing to within about one centimeter with the model-derived depths interpolated to the same moisture at the GNSS carriers and at S-band. Throughout, δp is a property of the soil alone. It is not the effective sensing depth of a GNSS observation, which also depends on the observation geometry, the polarization, the surface roughness, and the forward model used in the inversion.

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Journal
Remote Sensing
Published
2026-09-21
DOI
https://doi.org/10.3390/rs18183258
Primary Topic
Soil Moisture and Remote Sensing
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article
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article

Experimental Assessment of Microwave Penetration Depth in Layered Soil by Wideband (0.3–6 GHz) Transmissometry and Reflectometry

Adriano Camps, Amadeu Gonga
Remote Sensing
Soil Moisture and Remote Sensing
article

Experimental Assessment of Microwave Penetration Depth in Layered Soil by Wideband (0.3–6 GHz) Transmissometry and Reflectometry

Adriano Camps, Amadeu Gonga
article en

Abstract

The depth to which a Global Navigation Satellite System (GNSS) signal senses soil moisture is set by the electromagnetic power penetration depth (δp), the depth at which the power transmitted into the soil falls to 1/e, seldom measured directly and instead inferred from dielectric mixing models whose parameters are fitted to permittivity rather than to propagation through real, stratified soil. This work reports a controlled, wideband (0.3–6 GHz) Vector Network Analyzer (VNA) experiment in which two identical Left-Handed Circular Polarization (LHCP) spiral antennas measure the reflection (S11, S22) and transmission (S21) of a four-layer silt-loam soil column, a laboratory analogue of GNSS Reflectometry (GNSS-R) and GNSS Transmissometry (GNSS-T) geometries. Soil texture and per-layer moisture were measured, not assumed, with a layered-medium transfer-matrix forward model as the reference from which the depths are derived. In this monostatic, normal-incidence, same-hand circular arrangement the reflection channel was insensitive to the moisture profile due to helicity reversal on specular reflection suppressing the same-hand return by more than 15 dB, below the antenna’s own port reflection, whereas transmission preserved it. This is a configuration effect, not a general limitation of GNSS-R or of an opposite-hand dual-polarized reflectometer. Neither the Peplinski–Dobson nor the Mironov MBSDM model outperformed the other across all bands: Peplinski–Dobson fits best in 27 of the 48 moisture–band cells, whereas MBSDM performs best in the driest and two wettest states and in a few additional bins. Using the best-fitting model per band, and separating the parametric uncertainty of that model from the structural difference between the two, the model-derived δp decreases with moisture and frequency: under the driest evaluated state (volumetric moisture content mv=10.3%) it spans 26.4−1.5+1.8 cm at 868 MHz, a value higher than the 20 cm of soil actually sampled and therefore an extrapolation of the selected model, to 9.5−0.6+0.7 cm at 2.2 GHz, falling at mv=20.8% to 15.9−0.6+0.6 cm and 9.8−1.4+2.1 cm, respectively. At L1, L2, and L5 carriers, δp≈15–20 cm at mv=10.3% and δp≈5–7 cm at mv=41.3%. A second estimate, in which no dielectric model intervenes, is obtained from the wet-slab thickness sweep, the excess attenuation following from the slope of the differential transmissivity on propagation distance: at mv=22.9% it bounds δp from above at 20.9−1.8+2.2 cm at 868 MHz, 12.6−0.1+0.1 cm at L1, and 9.8−0.1+0.1 cm at 2.2 GHz, agreeing to within about one centimeter with the model-derived depths interpolated to the same moisture at the GNSS carriers and at S-band. Throughout, δp is a property of the soil alone. It is not the effective sensing depth of a GNSS observation, which also depends on the observation geometry, the polarization, the surface roughness, and the forward model used in the inversion.

Remote SensingVol. 18(18)
United Arab Emirates University (AE), Universitat Politècnica de Catalunya (ES)
Life in Land
Openalex Percentile: Top 18%
Soil Moisture and Remote Sensing
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