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Potential of utilizing ground-penetrating radar to calibrate electromagnetic induction for shallow soil water content estimation.

Pathirana, S.;Galagedara, L.;Lambot, Sébastien;Smeaton, C.;Cheema, M.
(2023) CSSS 2023 - Soils go Digital — Location: Truro, Nova Sco5a Dalhousie University Agricultural Campus, Canada (2023.June.25AD)

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Authors
  • Pathirana, S.
    Author
  • Galagedara, L.
    Author
  • Lambot, Sébastienorcid-logoUCLouvain
    Author
  • Smeaton, C.
    Author
  • Cheema, M.
    Author
Abstract
Hydro-geophysics uses near-surface geophysical techniques such as ElectromagneRc InducRon (EMI) and Ground-PenetraRng Radar (GPR) to determine the spaRotemporal variability of soil water content (SWC) in the agricultural landscape. Compared to standard methods, EMI and GPR can be used for large scale mapping of SWC non-destrucRvely. EsRmaRon of SWC with GPR is straight forward, however, EMI requires a site-specific predicRon model to esRmate SWC, mostly developed by using point scale measurements. Accordingly, the objecRves of this study were to i) correlate the two proxies; GPR direct ground wave velocity (VDGW) and EMI apparent electrical conducRvity (ECa), with SWC measured from Time Domain Reflectometry (TDR), and ii) develop a predicRve model for EMI to esRmate SWC, using GPR. ECa and VDGW data were collected before and afer irrigaRon, using an EMI sensor and two GPR systems with 500 MHz and 250 MHz center-frequency antennas. CorrelaRons were assessed and simple linear regressions (SLR) between EMI and GPR were developed to predict SWC. Strong negaRve correlaRons were found between 500 MHz (r=-0.828, p=0.000) and 250 MHz (r=-0.786, p=0.000) VDGW and TDR at 0-0.2 m depth. ECa from verRcal and horizontal coil orientaRons showed strong posiRve correlaRons (r=0.797, p=0.000 and r=0.878, p=0.000) with TDR measured SWC. SLRs showed higher coefficient of determinaRons (R2 > 0.70) for both coil orientaRons with the 500 MHz antenna. Results showed the potenRal of GPR to calibrate EMI for shallow SWC esRmaRon and future improvements of these predicRon models can be used for large-scale SWC mapping to support precision agriculture.
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Pathirana, S., Galagedara, L., Lambot, S., Smeaton, C., & Cheema, M. (2023). Potential of utilizing ground-penetrating radar to calibrate electromagnetic induction for shallow soil water content estimation. CSSS 2023 - Soils go Digital, Truro, Nova Sco5a Dalhousie University Agricultural Campus, Canada. https://hdl.handle.net/2078.5/240828