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| 001 | 1034758 | ||
| 005 | 20250203103358.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2024-07513 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-07513 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Schiebel, Sophia |0 P:(DE-Juel1)195683 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a TERENO Workshop 2024 |c Leipzig |d 2024-11-05 - 2024-11-07 |w Germany |
| 245 | _ | _ | |a Spatial and temporal high-resolution imaging of the soil-plant continuum using crosshole Ground Penetrating Radar |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
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| 520 | _ | _ | |a Non-invasive imaging techniques, such as cross-hole Ground-Penetrating Radar (GPR), provide essential information about soil variability needed in precision agriculture and for protecting natural resources such as groundwater. This study investigates the potential of using GPR to monitor soil water content variations influenced by maize roots and varying nitrate fertilizer concentrations in the soil. Weekly GPR measurements, using 200 MHz and 500 MHz systems, were conducted during one maize growing season at the upper minirhizotron facility located at the TERENO site in Selhausen, Germany. The facility is equipped with horizontal rhizotubes in three plots, with each plot containing three sets of 7 m long rhizotubes between 0.1 m to 1.2 m depth, allowing time-lapse data acquisition. While variations in root presence and soil water content can be linked to the GPR-derived permittivities, variations in nitrate concentration primarily affect the peaks of the GPR signal. To allow time-lapse comparisons, both permittivity and amplitudes, which were derived from the envelopes of the signal peaks, were trend corrected. The results indicated increased variability in permittivity over time, particularly down to 0.6 m depth, accompanied by an increased root presence. Additionally, we noticed that the 500 MHz data notably enhanced the resolution and made small structures more visible compared to the 200 MHz data. Preliminary results suggest that higher nitrate fertilizer concentrations lead to decreased maximum amplitudes in GPR data along the rhizotubes, highlighting the potential of GPR to map nitrate variations in the subsurface. These new insights are of high interest for future applications in precision agriculture. |
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| 700 | 1 | _ | |a Lärm, Lena |0 P:(DE-Juel1)180553 |b 1 |u fzj |
| 700 | 1 | _ | |a Vereecken, Harry |0 P:(DE-Juel1)129549 |b 2 |u fzj |
| 700 | 1 | _ | |a Schnepf, Andrea |0 P:(DE-Juel1)157922 |b 3 |u fzj |
| 700 | 1 | _ | |a Bauer, Felix |0 P:(DE-Juel1)186730 |b 4 |u fzj |
| 700 | 1 | _ | |a Klotzsche, Anja |0 P:(DE-Juel1)129483 |b 5 |u fzj |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1034758/files/Schiebel_Tereno_2024.pdf |y OpenAccess |
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| 914 | 1 | _ | |y 2024 |
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