Articles | Volume 17, issue 12
https://doi.org/10.5194/hess-17-5097-2013
© Author(s) 2013. 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-17-5097-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
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17 Dec 2013
Research article | Highlight paper |
| 17 Dec 2013
Quantifying mesoscale soil moisture with the cosmic-ray rover
B. Chrisman
Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA
M. Zreda
Department of Hydrology and Water Resources, University of Arizona, Tucson AZ, USA
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Cited
53 citations as recorded by crossref.
- Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review H. Bogena et al. https://doi.org/10.1002/wat2.1097
- Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. https://doi.org/10.1007/s11430-014-5003-4
- Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty P. Davies et al. https://doi.org/10.3390/s22239143
- Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment M. Schrön et al. https://doi.org/10.5194/gi-7-83-2018
- Beyond Helium-3: Instruments for Cosmic-Ray Neutron Sensing Based on Boron-10 Neutron Detectors M. Köhli & J. Weimar https://doi.org/10.3390/instruments10020031
- Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions M. Andreasen et al. https://doi.org/10.1029/2019WR026588
- The future of Earth observation in hydrology M. McCabe et al. https://doi.org/10.5194/hess-21-3879-2017
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. https://doi.org/10.2136/vzj2017.04.0086
- Observation on Soil Moisture of Irrigation Cropland by Cosmic-Ray Probe . Zhongli Zhu et al. https://doi.org/10.1109/LGRS.2014.2346784
- Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods J. Iwema et al. https://doi.org/10.5194/hess-19-3203-2015
- Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network B. Fersch et al. https://doi.org/10.1029/2018WR023337
- Feasibility of irrigation monitoring with cosmic-ray neutron sensors C. Brogi et al. https://doi.org/10.5194/gi-11-451-2022
- Focus on the nonlinear infiltration process in deep vadose zone Y. He et al. https://doi.org/10.1016/j.earscirev.2024.104719
- Soil hydrology: Recent methodological advances, challenges, and perspectives H. Vereecken et al. https://doi.org/10.1002/2014WR016852
- A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing G. Baroni & S. Oswald https://doi.org/10.1016/j.jhydrol.2015.03.053
- Mapping mesoscale soil moisture using a model-data fusion approach J. Peraza et al. https://doi.org/10.1016/j.jhydrol.2025.132768
- Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets P. Lawston et al. https://doi.org/10.5194/hess-21-2953-2017
- Soil water content determination with cosmic-ray neutron sensor: Correcting aboveground hydrogen effects with thermal/fast neutron ratio Z. Tian et al. https://doi.org/10.1016/j.jhydrol.2016.07.004
- Maximizing the information return of vehicle-based sensors: optimal routing for mobile cosmic ray neutron sensing C. Topaclioglu et al. https://doi.org/10.3389/fenvs.2026.1803901
- Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content W. Avery et al. https://doi.org/10.5194/hess-20-3859-2016
- Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. https://doi.org/10.3390/hydrology6030065
- Response functions for detectors in cosmic ray neutron sensing M. Köhli et al. https://doi.org/10.1016/j.nima.2018.06.052
- Soil water content monitoring for irrigation management: A geostatistical analysis J. Barker et al. https://doi.org/10.1016/j.agwat.2017.03.024
- Agricultural drought evaluation based on a soil moisture index coupled hydrological model in North China Plain Q. Luan et al. https://doi.org/10.1016/j.ecolind.2024.112473
- Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring T. Franz et al. https://doi.org/10.1002/2015GL063963
- Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception M. Andreasen et al. https://doi.org/10.5194/hess-21-1875-2017
- Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods R. Baatz et al. https://doi.org/10.1016/j.jhydrol.2014.02.026
- Modeling cosmic ray neutron field measurements M. Andreasen et al. https://doi.org/10.1002/2015WR018236
- Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads M. Schrön et al. https://doi.org/10.1029/2017WR021719
- Calibration and Validation of the COSMOS Rover for Surface Soil Moisture Measurement J. Dong et al. https://doi.org/10.2136/vzj2013.08.0148
- The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory U. Wollschläger et al. https://doi.org/10.1007/s12665-016-6327-5
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. https://doi.org/10.1016/j.jhydrol.2021.126659
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. https://doi.org/10.1029/2020WR028478
- Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons M. Köhli et al. https://doi.org/10.1002/2015WR017169
- Soil water content in southern England derived from a cosmic‐ray soil moisture observing system – COSMOS‐UK J. Evans et al. https://doi.org/10.1002/hyp.10929
- Comprehensive data aleatory uncertainty propagation in regression random forest using a Monte Carlo approach: a struggle with incomplete data provision using a case study on probabilistic soil moisture regionalization H. Paasche et al. https://doi.org/10.3389/fenvs.2025.1599320
- A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. https://doi.org/10.1002/vzj2.20083
- Soil moisture measurements by Cosmic-Ray neutron sensing: A critical review M. Köhli https://doi.org/10.1016/j.geoderma.2025.117626
- Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics A. Lausch et al. https://doi.org/10.3390/rs11202356
- The Cosmic‐ray Soil Moisture Observation System (Cosmos) for Estimating the Crop Water Requirement: New Approach R. Ragab et al. https://doi.org/10.1002/ird.2152
- The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP‐MOISST): Testbed Design and Evaluation of In Situ Sensors M. Cosh et al. https://doi.org/10.2136/vzj2015.09.0122
- Mesoscale soil moisture measurements along the rover route using the mobile cosmic-ray neutron sensing in the eastern Tibetan Plateau Y. Zhang et al. https://doi.org/10.1016/j.geoderma.2024.117046
- An empirical vegetation correction for soil water content quantification using cosmic ray probes R. Baatz et al. https://doi.org/10.1002/2014WR016443
- Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D. McJannet et al. https://doi.org/10.5194/hess-21-6049-2017
- A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany B. Fersch et al. https://doi.org/10.5194/essd-12-2289-2020
- Snow water equivalent measurement in the Arctic based on cosmic ray neutron attenuation A. Jitnikovitch et al. https://doi.org/10.5194/tc-15-5227-2021
- Evaluation of Model-Based Soil Moisture Drought Monitoring over Three Key Regions in China Y. Li et al. https://doi.org/10.1175/JAMC-D-17-0118.1
- A Novel Lithium Foil Cosmic-Ray Neutron Detector for Measuring Field-Scale Soil Moisture A. Patrignani et al. https://doi.org/10.3389/frwa.2021.673185
- Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing D. Altdorff et al. https://doi.org/10.1029/2022WR033514
- Artificial intelligence and digital sensing for multiscale soil structure: from observation to decision-making Y. Fu et al. https://doi.org/10.1016/j.compag.2026.112343
- Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns J. Dong & T. Ochsner https://doi.org/10.1002/2017WR021692
- Measured and Modeled Soil Moisture Compared with Cosmic‐Ray Neutron Probe Estimates in a Mixed Forest L. Lv et al. https://doi.org/10.2136/vzj2014.06.0077
- Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys J. Jakobi et al. https://doi.org/10.3389/frwa.2020.00010
53 citations as recorded by crossref.
- Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review H. Bogena et al. https://doi.org/10.1002/wat2.1097
- Hyperresolution information and hyperresolution ignorance in modelling the hydrology of the land surface K. Beven et al. https://doi.org/10.1007/s11430-014-5003-4
- Optimal Temporal Filtering of the Cosmic-Ray Neutron Signal to Reduce Soil Moisture Uncertainty P. Davies et al. https://doi.org/10.3390/s22239143
- Intercomparison of cosmic-ray neutron sensors and water balance monitoring in an urban environment M. Schrön et al. https://doi.org/10.5194/gi-7-83-2018
- Beyond Helium-3: Instruments for Cosmic-Ray Neutron Sensing Based on Boron-10 Neutron Detectors M. Köhli & J. Weimar https://doi.org/10.3390/instruments10020031
- Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions M. Andreasen et al. https://doi.org/10.1029/2019WR026588
- The future of Earth observation in hydrology M. McCabe et al. https://doi.org/10.5194/hess-21-3879-2017
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. https://doi.org/10.2136/vzj2017.04.0086
- Observation on Soil Moisture of Irrigation Cropland by Cosmic-Ray Probe . Zhongli Zhu et al. https://doi.org/10.1109/LGRS.2014.2346784
- Investigating temporal field sampling strategies for site-specific calibration of three soil moisture–neutron intensity parameterisation methods J. Iwema et al. https://doi.org/10.5194/hess-19-3203-2015
- Synergies for Soil Moisture Retrieval Across Scales From Airborne Polarimetric SAR, Cosmic Ray Neutron Roving, and an In Situ Sensor Network B. Fersch et al. https://doi.org/10.1029/2018WR023337
- Feasibility of irrigation monitoring with cosmic-ray neutron sensors C. Brogi et al. https://doi.org/10.5194/gi-11-451-2022
- Focus on the nonlinear infiltration process in deep vadose zone Y. He et al. https://doi.org/10.1016/j.earscirev.2024.104719
- Soil hydrology: Recent methodological advances, challenges, and perspectives H. Vereecken et al. https://doi.org/10.1002/2014WR016852
- A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing G. Baroni & S. Oswald https://doi.org/10.1016/j.jhydrol.2015.03.053
- Mapping mesoscale soil moisture using a model-data fusion approach J. Peraza et al. https://doi.org/10.1016/j.jhydrol.2025.132768
- Assessment of irrigation physics in a land surface modeling framework using non-traditional and human-practice datasets P. Lawston et al. https://doi.org/10.5194/hess-21-2953-2017
- Soil water content determination with cosmic-ray neutron sensor: Correcting aboveground hydrogen effects with thermal/fast neutron ratio Z. Tian et al. https://doi.org/10.1016/j.jhydrol.2016.07.004
- Maximizing the information return of vehicle-based sensors: optimal routing for mobile cosmic ray neutron sensing C. Topaclioglu et al. https://doi.org/10.3389/fenvs.2026.1803901
- Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content W. Avery et al. https://doi.org/10.5194/hess-20-3859-2016
- Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. https://doi.org/10.3390/hydrology6030065
- Response functions for detectors in cosmic ray neutron sensing M. Köhli et al. https://doi.org/10.1016/j.nima.2018.06.052
- Soil water content monitoring for irrigation management: A geostatistical analysis J. Barker et al. https://doi.org/10.1016/j.agwat.2017.03.024
- Agricultural drought evaluation based on a soil moisture index coupled hydrological model in North China Plain Q. Luan et al. https://doi.org/10.1016/j.ecolind.2024.112473
- Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring T. Franz et al. https://doi.org/10.1002/2015GL063963
- Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception M. Andreasen et al. https://doi.org/10.5194/hess-21-1875-2017
- Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods R. Baatz et al. https://doi.org/10.1016/j.jhydrol.2014.02.026
- Modeling cosmic ray neutron field measurements M. Andreasen et al. https://doi.org/10.1002/2015WR018236
- Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads M. Schrön et al. https://doi.org/10.1029/2017WR021719
- Calibration and Validation of the COSMOS Rover for Surface Soil Moisture Measurement J. Dong et al. https://doi.org/10.2136/vzj2013.08.0148
- The Bode hydrological observatory: a platform for integrated, interdisciplinary hydro-ecological research within the TERENO Harz/Central German Lowland Observatory U. Wollschläger et al. https://doi.org/10.1007/s12665-016-6327-5
- Combining static and portable Cosmic ray neutron sensor data to assess catchment scale heterogeneity in soil water storage and their integrated role in catchment runoff response K. Dimitrova-Petrova et al. https://doi.org/10.1016/j.jhydrol.2021.126659
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. https://doi.org/10.1029/2020WR028478
- Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons M. Köhli et al. https://doi.org/10.1002/2015WR017169
- Soil water content in southern England derived from a cosmic‐ray soil moisture observing system – COSMOS‐UK J. Evans et al. https://doi.org/10.1002/hyp.10929
- Comprehensive data aleatory uncertainty propagation in regression random forest using a Monte Carlo approach: a struggle with incomplete data provision using a case study on probabilistic soil moisture regionalization H. Paasche et al. https://doi.org/10.3389/fenvs.2025.1599320
- A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. https://doi.org/10.1002/vzj2.20083
- Soil moisture measurements by Cosmic-Ray neutron sensing: A critical review M. Köhli https://doi.org/10.1016/j.geoderma.2025.117626
- Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity—Part I: Soil Characteristics A. Lausch et al. https://doi.org/10.3390/rs11202356
- The Cosmic‐ray Soil Moisture Observation System (Cosmos) for Estimating the Crop Water Requirement: New Approach R. Ragab et al. https://doi.org/10.1002/ird.2152
- The Soil Moisture Active Passive Marena, Oklahoma, In Situ Sensor Testbed (SMAP‐MOISST): Testbed Design and Evaluation of In Situ Sensors M. Cosh et al. https://doi.org/10.2136/vzj2015.09.0122
- Mesoscale soil moisture measurements along the rover route using the mobile cosmic-ray neutron sensing in the eastern Tibetan Plateau Y. Zhang et al. https://doi.org/10.1016/j.geoderma.2024.117046
- An empirical vegetation correction for soil water content quantification using cosmic ray probes R. Baatz et al. https://doi.org/10.1002/2014WR016443
- Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D. McJannet et al. https://doi.org/10.5194/hess-21-6049-2017
- A dense network of cosmic-ray neutron sensors for soil moisture observation in a highly instrumented pre-Alpine headwater catchment in Germany B. Fersch et al. https://doi.org/10.5194/essd-12-2289-2020
- Snow water equivalent measurement in the Arctic based on cosmic ray neutron attenuation A. Jitnikovitch et al. https://doi.org/10.5194/tc-15-5227-2021
- Evaluation of Model-Based Soil Moisture Drought Monitoring over Three Key Regions in China Y. Li et al. https://doi.org/10.1175/JAMC-D-17-0118.1
- A Novel Lithium Foil Cosmic-Ray Neutron Detector for Measuring Field-Scale Soil Moisture A. Patrignani et al. https://doi.org/10.3389/frwa.2021.673185
- Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing D. Altdorff et al. https://doi.org/10.1029/2022WR033514
- Artificial intelligence and digital sensing for multiscale soil structure: from observation to decision-making Y. Fu et al. https://doi.org/10.1016/j.compag.2026.112343
- Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns J. Dong & T. Ochsner https://doi.org/10.1002/2017WR021692
- Measured and Modeled Soil Moisture Compared with Cosmic‐Ray Neutron Probe Estimates in a Mixed Forest L. Lv et al. https://doi.org/10.2136/vzj2014.06.0077
- Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys J. Jakobi et al. https://doi.org/10.3389/frwa.2020.00010
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