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
| Highlight paper
| 
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
Viewed
Total article views: 7,045 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,453 | 2,328 | 264 | 7,045 | 247 | 259 |
- HTML: 4,453
- PDF: 2,328
- XML: 264
- Total: 7,045
- BibTeX: 247
- EndNote: 259
Total article views: 6,064 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 17 Dec 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 4,059 | 1,780 | 225 | 6,064 | 232 | 251 |
- HTML: 4,059
- PDF: 1,780
- XML: 225
- Total: 6,064
- BibTeX: 232
- EndNote: 251
Total article views: 981 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 05 Jun 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 394 | 548 | 39 | 981 | 15 | 8 |
- HTML: 394
- PDF: 548
- XML: 39
- Total: 981
- BibTeX: 15
- EndNote: 8
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
Saved (final revised paper)
Latest update: 14 Sep 2026
