Articles | Volume 21, issue 1
https://doi.org/10.5194/hess-21-495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-495-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network
Dept. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
Ulrike Werban
Dept. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
Steffen Zacharias
Dept. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
Marco Pohle
Dept. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
Peter Dietrich
Dept. Monitoring and Exploration Technologies, UFZ – Helmholtz Centre for Environmental Research, Permoserstraße 15, 04318 Leipzig, Germany
Centre for Applied Geoscience, University of Tübingen, Hölderlinstraße 12, 72074 Tübingen, Germany
Ute Wollschläger
Dept. Soil Physics, UFZ – Helmholtz Centre for Environmental Research, Theodor-Lieser-Straße 4, 06120 Halle (Saale), Germany
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52 citations as recorded by crossref.
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- Spatial variability of soil water content and soil electrical conductivity across scales derived from Electromagnetic Induction and Time Domain Reflectometry J. Robinet et al. 10.1016/j.geoderma.2017.10.045
- Apparent Hysteresis in Archie’s Law: Implications of Changing Pore Fluid Conductivity for Electrical Resistivity Monitoring of Infiltration G. Pope & J. Nyquist 10.32389/JEEG22-047
- A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece E. Anastasiou et al. 10.1016/j.scitotenv.2019.05.324
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- Improving the reliability of soil EC-mapping: Robust apparent electrical conductivity (rECa) estimation in ground-based frequency domain electromagnetics D. Hanssens et al. 10.1016/j.geoderma.2018.11.030
- Time‐lapse mapping of crop and tillage interactions with soil water using electromagnetic induction M. Brown et al. 10.1002/vzj2.20097
- Assessing soil water content spatio-temporal variability at the hillslope scale in a headwater catchment using a multi variable interpolation model based on EMI surveys (Draix, South Alps, France) F. Mallet et al. 10.1007/s12665-018-7687-9
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- Soil Water Extraction Monitored Per Plot Across a Field Experiment Using Repeated Electromagnetic Induction Surveys J. Huang et al. 10.3390/soilsystems2010011
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- How can we model subsurface stormflow at the catchment scale if we cannot measure it? P. Chifflard et al. 10.1002/hyp.13407
- Introducing a tailored site delineation approach to optimize the design of managed aquifer recharge surface spreading infrastructure R. Sultana et al. 10.1016/j.gsd.2024.101169
- Soil Moisture Mapping Using Multi-Frequency and Multi-Coil Electromagnetic Induction Sensors on Managed Podzols E. Badewa et al. 10.3390/agronomy8100224
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- On the Field Estimation of Moisture Content Using Electrical Geophysics: The Impact of Petrophysical Model Uncertainty C. Tso et al. 10.1029/2019WR024964
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- Toward high‐resolution agronomic soil information and management zones delineated by ground‐based electromagnetic induction and aerial drone data C. von Hebel et al. 10.1002/vzj2.20099
- Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery F. Hermanns et al. 10.3390/rs13101885
- EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data P. McLachlan et al. 10.1016/j.cageo.2020.104561
- Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management C. Finkenbiner et al. 10.1007/s11119-018-9582-5
- Ground-Penetrating Radar and Electromagnetic Induction: Challenges and Opportunities in Agriculture S. Pathirana et al. 10.3390/rs15112932
- Assessing soil moisture variability in a vineyard via frequency domain electromagnetic induction data L. De Carlo et al. 10.3389/fsoil.2023.1290591
- The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory U. Wollschläger et al. 10.1007/s12665-016-6327-5
50 citations as recorded by crossref.
- Comparison of multi-coil and multi-frequency frequency domain electromagnetic induction instruments G. Blanchy et al. 10.3389/fsoil.2024.1239497
- Accounting for heterogeneity in the θ–σ relationship: Application to wheat phenotyping using EMI G. Blanchy et al. 10.1002/vzj2.20037
- Using Apparent Electrical Conductivity to Delineate Field Variation in an Agroforestry System in the Ozark Highlands S. Ylagan et al. 10.3390/rs14225777
- Smart Gardening IoT Soil Sheets for Real-Time Nutrient Analysis L. Burton et al. 10.1149/2.0201808jes
- Integrated Agrogeophysical Approach for Investigating Soil Pipes in Agricultural Fields M. Samad et al. 10.32389/JEEG22-007
- Spatial pattern consistency and repeatability of proximal soil sensor data for digital soil mapping H. Ahrends et al. 10.1111/ejss.13409
- Potential of ground-penetrating radar to calibrate electromagnetic induction for shallow soil water content estimation S. Pathirana et al. 10.1016/j.jhydrol.2024.130957
- Electromagnetic Induction Measurements for Investigating Soil Salinization Caused by Saline Reclaimed Water L. De Carlo et al. 10.3390/atmos13010073
- Spatial variability of soil water content and soil electrical conductivity across scales derived from Electromagnetic Induction and Time Domain Reflectometry J. Robinet et al. 10.1016/j.geoderma.2017.10.045
- Apparent Hysteresis in Archie’s Law: Implications of Changing Pore Fluid Conductivity for Electrical Resistivity Monitoring of Infiltration G. Pope & J. Nyquist 10.32389/JEEG22-047
- A multi-source data fusion approach to assess spatial-temporal variability and delineate homogeneous zones: A use case in a table grape vineyard in Greece E. Anastasiou et al. 10.1016/j.scitotenv.2019.05.324
- Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture M. Hardie 10.3390/s20236934
- The fluvial architecture of buried floodplain sediments of the Weiße Elster River (Germany) revealed by a novel method combination of drill cores with two‐dimensional and spatially resolved geophysical measurements H. von Suchodoletz et al. 10.1002/esp.5296
- Temporal Stability of Management Zone Patterns: Case Study with Contact and Non-Contact Soil Electrical Conductivity Sensors in Dryland Pastures J. Serrano et al. 10.3390/s24051623
- <i>STH-net:</i> a soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale E. Martini et al. 10.5194/essd-13-2529-2021
- The contribution of near surface geophysics to measure soil related terroir factors in viticulture: A review C. van Leeuwen et al. 10.1016/j.geoderma.2024.116983
- Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability D. Benedetto et al. 10.1590/1678-992x-2018-0349
- Improving the reliability of soil EC-mapping: Robust apparent electrical conductivity (rECa) estimation in ground-based frequency domain electromagnetics D. Hanssens et al. 10.1016/j.geoderma.2018.11.030
- Time‐lapse mapping of crop and tillage interactions with soil water using electromagnetic induction M. Brown et al. 10.1002/vzj2.20097
- Assessing soil water content spatio-temporal variability at the hillslope scale in a headwater catchment using a multi variable interpolation model based on EMI surveys (Draix, South Alps, France) F. Mallet et al. 10.1007/s12665-018-7687-9
- Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 1: Soil Applications A. Pradipta et al. 10.3390/w14071158
- Climatic indices as markers of table-grapes postharvest quality: A prediction exercise E. Anastasiou et al. 10.1016/j.atech.2022.100059
- Field‐based estimation of cation exchange capacity using induced polarization methods P. McLachlan et al. 10.1002/esp.6004
- An environmental exploration system for visual scenario analysis of regional hydro-meteorological systems K. Rink et al. 10.1016/j.cag.2022.02.009
- Do soil and climatic parameters affect yield and quality on table grapes? E. Anastasiou et al. 10.1016/j.atech.2022.100088
- Principal Component Analysis of the Spatiotemporal Pattern of Soil Moisture and Apparent Electrical Conductivity E. Martini et al. 10.2136/vzj2016.12.0129
- Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network C. Briciu-Burghina et al. 10.3390/s22030987
- Assessment and Mapping of Soil Salinity Using the EM38 and EM38MK2 Sensors: A Focus on the Modeling Approaches P. Petsetidi & G. Kargas 10.3390/land12101932
- Soil Water Extraction Monitored Per Plot Across a Field Experiment Using Repeated Electromagnetic Induction Surveys J. Huang et al. 10.3390/soilsystems2010011
- Mapping an Agricultural Field Experiment by Electromagnetic Induction and Ground Penetrating Radar to Improve Soil Water Content Estimation D. De Benedetto et al. 10.3390/agronomy9100638
- Spatiotemporal monitoring of soil moisture from EMI data using DCT-based Bayesian inference and neural network D. Moghadas et al. 10.1016/j.jappgeo.2019.07.004
- Remote Sensing, Geophysics, and Modeling to Support Precision Agriculture—Part 2: Irrigation Management A. Pradipta et al. 10.3390/w14071157
- Estimating Soil Properties Distribution at a Restored Wetland Using Electromagnetic Imaging and Limited Soil Core Samples E. Emmanuel et al. 10.1007/s13157-023-01686-3
- 3D mapping of soil organic carbon content and soil moisture with multiple geophysical sensors and machine learning T. Rentschler et al. 10.1002/vzj2.20062
- Linking electromagnetic induction data to soil properties at field scale aided by neural network clustering D. O’Leary et al. 10.3389/fsoil.2024.1346028
- Predicting wetland soil properties using machine learning, geophysics, and soil measurement data D. Driba et al. 10.1007/s11368-024-03801-1
- How can we model subsurface stormflow at the catchment scale if we cannot measure it? P. Chifflard et al. 10.1002/hyp.13407
- Introducing a tailored site delineation approach to optimize the design of managed aquifer recharge surface spreading infrastructure R. Sultana et al. 10.1016/j.gsd.2024.101169
- Soil Moisture Mapping Using Multi-Frequency and Multi-Coil Electromagnetic Induction Sensors on Managed Podzols E. Badewa et al. 10.3390/agronomy8100224
- Soil moisture and electrical conductivity relationships under typical Loess Plateau land covers T. Turkeltaub et al. 10.1002/vzj2.20174
- On the Field Estimation of Moisture Content Using Electrical Geophysics: The Impact of Petrophysical Model Uncertainty C. Tso et al. 10.1029/2019WR024964
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- A Wireless Sensor Network Deployment for Soil Moisture Monitoring in Precision Agriculture J. Lloret et al. 10.3390/s21217243
- Assessing soil water content variation in a small mountainous catchment over different time scales and land covers using geographical variables F. Mallet et al. 10.1016/j.jhydrol.2020.125593
- Positionally-independent and extended read range resonant sensors applied to deep soil moisture monitoring Y. Chan et al. 10.1016/j.sna.2021.113227
- Toward high‐resolution agronomic soil information and management zones delineated by ground‐based electromagnetic induction and aerial drone data C. von Hebel et al. 10.1002/vzj2.20099
- Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery F. Hermanns et al. 10.3390/rs13101885
- EMagPy: Open-source standalone software for processing, forward modeling and inversion of electromagnetic induction data P. McLachlan et al. 10.1016/j.cageo.2020.104561
- Integration of hydrogeophysical datasets and empirical orthogonal functions for improved irrigation water management C. Finkenbiner et al. 10.1007/s11119-018-9582-5
- Ground-Penetrating Radar and Electromagnetic Induction: Challenges and Opportunities in Agriculture S. Pathirana et al. 10.3390/rs15112932
2 citations as recorded by crossref.
- Assessing soil moisture variability in a vineyard via frequency domain electromagnetic induction data L. De Carlo et al. 10.3389/fsoil.2023.1290591
- The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory U. Wollschläger et al. 10.1007/s12665-016-6327-5
Saved (preprint)
Latest update: 19 Nov 2024
Short summary
With a process-based interpretation of electromagnetic induction measurements, we discussed the potential and limitations of such a method for soil moisture mapping. Results will help clarify the complex and time-varying effect of stable soil properties and dynamic state variables on the physical parameters measured, with implications for future studies. We highlighted the importance of time-series data and the need for a multidisciplinary approach for proper interpretation.
With a process-based interpretation of electromagnetic induction measurements, we discussed the...