First Vegetation Signatures from a Multi-Constellation, Multi-Frequency, and Polarimetric GNSS-Transmissometry and GNSS-Reflectometry Experiment over the Amazon Rainforest

L-band Vegetation Optical Depth (VOD) retrievals in tropical forest almost always use the τ–ω model, which parameterizes canopy scattering with an effective single-scattering albedo and usually neglects higher-order scattering. This work reports nine months of continuous observations from a four-channel ground-based GNSS-Transmissometry/Reflectometry (GNSS-T/GNSS-R) instrument on the 45 m walk-up tower at the LBA K67 site, Tapajós National Forest, Brazil. Four antennas feed two dual-channel receivers for the direct, reflected (LHCP and RHCP), and canopy-transmitted (RHCP) signals. Three direct observational diagnostics are consistent with a canopy volume-scattering contribution. The transmitted opacity increases with incidence angle but recovers only part of the expected path-length dependence, shows no dependence on the LiDAR-derived canopy height, and the circular polarization ratio departs from the angular decline of a coherent reflection. A joint retrieval recovers the apparent volume-scattering amplitude Gvω0 as a positive residual of the measured return over the modeled coherent two-way ground path. Gvω0 is an effective scattering residual, not the τ–ω single-scattering albedo ω. For GPS L1 it decreases from 0.85[0.59,1.19] to 0.41[0.28,0.57] through the dry-to-wet transition. This seasonal magnitude is an internal-consistency result from the measurement chain, without independent validation. It depends on two conservative choices. A smooth-surface soil model maximizes the subtracted coherent ground return. A two-term decomposition omits the canopy–ground interaction paths.

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Publication Details

Journal
Remote Sensing
Published
2026-10-26
DOI
https://doi.org/10.3390/rs18213680
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

First Vegetation Signatures from a Multi-Constellation, Multi-Frequency, and Polarimetric GNSS-Transmissometry and GNSS-Reflectometry Experiment over the Amazon Rainforest

Mark J. Grosvenor, Dirk Schuettemeyer, Antônio Marcos Delfino de Andrade, Adriano Camps et al.
Remote Sensing
Soil Moisture and Remote Sensing
article

First Vegetation Signatures from a Multi-Constellation, Multi-Frequency, and Polarimetric GNSS-Transmissometry and GNSS-Reflectometry Experiment over the Amazon Rainforest

Mark J. Grosvenor, Dirk Schuettemeyer, Antônio Marcos Delfino de Andrade, Adriano Camps, Amadeu Gonga, Martin J. Wooster, Rodrigo da Silva, Júlio Tóta
article en

Abstract

L-band Vegetation Optical Depth (VOD) retrievals in tropical forest almost always use the τ–ω model, which parameterizes canopy scattering with an effective single-scattering albedo and usually neglects higher-order scattering. This work reports nine months of continuous observations from a four-channel ground-based GNSS-Transmissometry/Reflectometry (GNSS-T/GNSS-R) instrument on the 45 m walk-up tower at the LBA K67 site, Tapajós National Forest, Brazil. Four antennas feed two dual-channel receivers for the direct, reflected (LHCP and RHCP), and canopy-transmitted (RHCP) signals. Three direct observational diagnostics are consistent with a canopy volume-scattering contribution. The transmitted opacity increases with incidence angle but recovers only part of the expected path-length dependence, shows no dependence on the LiDAR-derived canopy height, and the circular polarization ratio departs from the angular decline of a coherent reflection. A joint retrieval recovers the apparent volume-scattering amplitude Gvω0 as a positive residual of the measured return over the modeled coherent two-way ground path. Gvω0 is an effective scattering residual, not the τ–ω single-scattering albedo ω. For GPS L1 it decreases from 0.85[0.59,1.19] to 0.41[0.28,0.57] through the dry-to-wet transition. This seasonal magnitude is an internal-consistency result from the measurement chain, without independent validation. It depends on two conservative choices. A smooth-surface soil model maximizes the subtracted coherent ground return. A two-term decomposition omits the canopy–ground interaction paths.

Remote SensingVol. 18(21)
Universidade Federal do Oeste do Pará (BR), King's College London (GB), United Arab Emirates University (AE), European Space Research and Technology Centre (NL), Universitat Politècnica de Catalunya (ES)
Openalex Percentile: Top 21%
Soil Moisture and Remote Sensing
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