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Articles | Volume 11, issue 2
Articles | Volume 11, issue 2
https://doi.org/10.5194/soil-11-811-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/soil-11-811-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 2
Original research article
 | 
15 Oct 2025
Original research article |  | 15 Oct 2025

High-resolution frequency-domain electromagnetic mapping for the hydrological modeling of an orange orchard

Luca Peruzzo, Ulrike Werban, Marco Pohle, Mirko Pavoni, Benjamin Mary, Giorgio Cassiani, Simona Consoli, and Daniela Vanella

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Short summary
Both spatial and temporal information is important in agriculture. Information regarding the aboveground variables is ever increasing in terms of density and precision. On the contrary, belowground information lags behind and has been typically limited to time series. This study uses methods that map the subsurface spatial variability. Numerical simulations of aboveground and belowground water fluxes are then based on such spatial information and additional time-oriented datasets that are common in agriculture.
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Special issue
Agrogeophysics: illuminating soil's hidden dimensions