Dielectric permittivity effects in the detection of tree roots using ground-penetrating radar

Aguiar, Guilherme Zakarewicz de; Lins, Luísa; Paulo, Matheus Figueredo de; Maciel, Susanne; Rocha, Amanda Almeida

doi:10.1016/j.jappgeo.2021.104435

Cited by 8 publications

(2 citation statements)

References 26 publications

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“…The only root diameter estimation model can be determined by the known relative permittivity of any root and without the limitation of soil condition. Aguiar et al [64] suggested in their related studies that the relative permittivity of roots has an impact on diameter estimation. Specifically, they proposed that the amount of water in each root is related to its relative permittivity, which in turn affects the accuracy of root diameter estimation.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Coarse Root System Diameter Based on Ground-Penetrating Radar Forward Modeling

Bi,

Xing,

Liang

et al. 2023

Forests

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Root diameter is an important indicator of plant growth and development to a large extent. However, the field monitoring of these parameters is severely limited by the lack of appropriate methods, and some traditional methods may harm the plant and its growing environment. Ground-penetrating radar (GPR) is a new nondestructive detection method for underground root systems. A new method for the estimation of the diameter of coarse roots using GPR with 900 MHz frequency was proposed in this paper. First, a simulation model was established to simulate the root system under natural conditions, and the root diameter estimation model based on the scanning results of GPR was obtained. Secondly, by studying the influence of soil and root relative permittivity on the diameter estimation model, a method was found to devise a coarse root diameter estimation model under different soil and root conditions of relative permittivity. Thirdly, the applicability of the diameter estimation model to roots with different growth orientations was tested by simulating roots with different growth orientations. Finally, the practical applicability of the estimation method was verified by field experiments. The results suggest that the root diameter estimation model can be constructed by extracting the pixel distance (∆p) of waveform parameters from the 900 MHz scanning results. This method can be used to estimate the diameter of coarse roots with diameters of no less than 2 cm and a relative permittivity greater than 5, and to estimate the diameter of roots in any orientation and soil environment effectively. At the same time, the application in the field experiment also resulted in a good estimation effect. This method provides a new opportunity to achieve more reliable root diameter estimation in complex situations. The estimation of coarse root diameter provides an experimental basis and data support for the healthy growth of trees, and also provides some information for the study of coarse root ecology.

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Section: Discussionmentioning

confidence: 99%

Estimation of Coarse Root System Diameter Based on Ground-Penetrating Radar Forward Modeling

Bi,

Xing,

Liang

et al. 2023

Forests

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“…As such, soils with low permittivity are preferred for root studies, as high permittivity can interfere with the detection of roots. Roots that absorb large amounts of water can affect the permittivity of the soil by drying it out, and thus making the soil less responsive to electric fields [18]. Roots, even those fine in scale, can affect overall soil permittivity due to their influence on overall soil moisture content.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration

Wolfe,

Dobreva,

Ruiz-Guzman

et al. 2023

Remote Sensing

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Among many agricultural practices proposed to cut carbon emissions in the next 30 years is the deposition of carbon in soils as plant matter. Adding rooting traits as part of a sequestration strategy would result in significantly increased carbon sequestration. Integrating these traits into production agriculture requires a belowground phenotyping method compatible with high-throughput breeding (i.e., rapid, inexpensive, reliable, and non-destructive). However, methods that fulfill these criteria currently do not exist. We hypothesized that ground-penetrating radar (GPR) could fill this need as a phenotypic selection tool. In this study, we employed a prototype GPR antenna array to scan and discriminate the root and rhizome mass of the perennial sorghum hybrid PSH09TX15. B-scan level time/discrete frequency analyses using continuous wavelet transform were utilized to extract features of interest that could be correlated to the biomass of the subsurface roots and rhizome. Time frequency analysis yielded strong correlations between radar features and belowground biomass (max R −0.91 for roots and −0.78 rhizomes, respectively) These results demonstrate that continued refinement of GPR data analysis workflows should yield an applicable phenotyping tool for breeding efforts in contexts where selection is otherwise impractical.

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DiffraPy: An open-source Python software for seismic diffraction imaging

Zakarewicz,

Maciel,

Biloti

2024

Computers & Geosciences

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Dielectric permittivity effects in the detection of tree roots using ground-penetrating radar

Cited by 8 publications

References 26 publications

Estimation of Coarse Root System Diameter Based on Ground-Penetrating Radar Forward Modeling

Estimation of Coarse Root System Diameter Based on Ground-Penetrating Radar Forward Modeling

Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration

DiffraPy: An open-source Python software for seismic diffraction imaging

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