001     1050413
005     20260112202639.0
037 _ _ |a FZJ-2026-00183
100 1 _ |a Lärm, Lena
|0 P:(DE-Juel1)180553
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|e Corresponding author
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111 2 _ |a 85.Jahrestagung der Deutschen Geophysikalischen Gesellschaft
|c Bochum
|d 2025-02-24 - 2025-02-27
|w Germany
245 _ _ |a Exploring the potential of using GPR to investigate the soil-plant continuumof maize crops
260 _ _ |c 2025
336 7 _ |a Conference Paper
|0 33
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520 _ _ |a The soil-plant continuum plays a vital role in regulating key processes that impact plant per-formance and agricultural productivity. Understanding these processes is becoming increas-ingly important as climate change affects agricultural systems. Diverging techniques likeagrogeophysics and crop science are currently used to investigate individual components ofthe soil-plant continuum at contrasting scales. However, since these components influenceeach other, integrated methods combining methods like ground penetrating radar (GPR)with root imaging and modelling techniques are needed. First, a study examined the impactof row crops like maize on horizontal variability in GPR-derived permittivities and root vol-ume fraction. Factors like soil type, water treatment, and atmospheric conditions were foundto influence this. A statistical analysis method was developed to visualize the trend-correctedspatial permittivity deviation, allowing correlation between permittivity variability and rootvolume fractions. Second, numerical modeling showed roots had a greater impact on GPRsignals than above-ground shoots. A new approach to derive available soil water was pre-sented, demonstrating that neglecting the root phase in petrophysical mixing models over-estimates soil water content. Third, horizontal crosshole GPR-derived soil water contents werecombined with a hydrological model to estimate soil hydraulic parameters for winter wheat.This sequential hydrogeophysical inversion was first used for a one-dimensional averagedcase, then upscaled to estimate pseudo three-dimensional spatially distributed parametersfor a dual-porosity Mualem-van-Genuchten model.
536 _ _ |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)
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536 _ _ |a EXC 2070:  PhenoRob - Robotics and Phenotyping for Sustainable Crop Production (390732324)
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700 1 _ |a Bauer, Felix
|0 P:(DE-Juel1)186730
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700 1 _ |a Weihermüller, Lutz
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700 1 _ |a Rödder, Jan
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700 1 _ |a Vereecken, Harry
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700 1 _ |a Vanderborght, Jan
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700 1 _ |a van der Kruk, Jan
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700 1 _ |a Schnepf, Andrea
|0 P:(DE-Juel1)157922
|b 7
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700 1 _ |a Klotzsche, Anja
|0 P:(DE-Juel1)129483
|b 8
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856 4 _ |u file:///C:/Users/l.laerm/Downloads/Tagungsband_DGG2025-3.pdf
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913 1 _ |a DE-HGF
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