Articles | Volume 21, issue 12
https://doi.org/10.5194/hess-21-6049-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-21-6049-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Dec 2017
Research article |
| 01 Dec 2017
| 01 Dec 2017
Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors
CSIRO Land and Water, EcoSciences Precinct, Dutton Park, Brisbane, QLD,
Australia
Aaron Hawdon
CSIRO Land and Water, ATSIP, James Cook University, Townsville, QLD, Australia
Brett Baker
CSIRO Land and Water, ATSIP, James Cook University, Townsville, QLD, Australia
Luigi Renzullo
CSIRO Land and Water, Canberra, ACT, Australia
Ross Searle
CSIRO Land and Water, EcoSciences Precinct, Dutton Park, Brisbane, QLD,
Australia
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Cited
21 citations as recorded by crossref.
- Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads M. Schrön et al. 10.1029/2017WR021719
- 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. 10.1029/2018WR023337
- A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture M. Hardie 10.3390/s20236934
- Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing D. Altdorff et al. 10.1029/2022WR033514
- Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al. 10.3390/s23052378
- 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. 10.1016/j.jhydrol.2021.126659
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
- Probabilistic prediction by means of the propagation of response variable uncertainty through a Monte Carlo approach in regression random forest: Application to soil moisture regionalization S. Dega et al. 10.3389/fenvs.2023.1009191
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
- Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys J. Jakobi et al. 10.3389/frwa.2020.00010
- 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. 10.5194/essd-12-2289-2020
- Reply to Comment by Jakobi et al. (2020) on “Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns” J. Dong & T. Ochsner 10.1029/2020WR028756
- Neutrons on Rails: Transregional Monitoring of Soil Moisture and Snow Water Equivalent M. Schrön et al. 10.1029/2021GL093924
- Correction efficiency and error characteristics for cosmic-ray soil moisture on mountainous terrain J. Jeong et al. 10.1016/j.jhydrol.2021.126657
- Incoming Neutron Flux Corrections for Cosmic‐Ray Soil and Snow Sensors Using the Global Neutron Monitor Network D. McJannet & D. Desilets 10.1029/2022WR033889
- First implementation of a new cross-disciplinary observation strategy for heavy precipitation events from formation to flooding A. Wieser et al. 10.1007/s12665-023-11050-7
- Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. 10.3390/hydrology6030065
21 citations as recorded by crossref.
- Cosmic‐ray Neutron Rover Surveys of Field Soil Moisture and the Influence of Roads M. Schrön et al. 10.1029/2017WR021719
- 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. 10.1029/2018WR023337
- A profile shape correction to reduce the vertical sensitivity of cosmic‐ray neutron sensing of soil moisture L. Scheiffele et al. 10.1002/vzj2.20083
- Using Additional Moderator to Control the Footprint of a COSMOS Rover for Soil Moisture Measurement A. Badiee et al. 10.1029/2020WR028478
- Review of Novel and Emerging Proximal Soil Moisture Sensors for Use in Agriculture M. Hardie 10.3390/s20236934
- Toward Large‐Scale Soil Moisture Monitoring Using Rail‐Based Cosmic Ray Neutron Sensing D. Altdorff et al. 10.1029/2022WR033514
- Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors C. Brogi et al. 10.3390/s23052378
- 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. 10.1016/j.jhydrol.2021.126659
- Cosmic-Ray neutron Sensor PYthon tool (crspy 1.2.1): an open-source tool for the processing of cosmic-ray neutron and soil moisture data D. Power et al. 10.5194/gmd-14-7287-2021
- Mesoscale soil moisture survey by mobile cosmic-ray neutron sensor across various landscapes in the Heihe River Basin S. Wu et al. 10.1016/j.rcar.2024.01.001
- Probabilistic prediction by means of the propagation of response variable uncertainty through a Monte Carlo approach in regression random forest: Application to soil moisture regionalization S. Dega et al. 10.3389/fenvs.2023.1009191
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- Employing NDVI as vegetation correction variable to improve soil moisture measurements of mobile cosmic-ray neutron sensor near the Qilian Mountains S. Wu et al. 10.1016/j.geoderma.2023.116764
- Error Estimation for Soil Moisture Measurements With Cosmic Ray Neutron Sensing and Implications for Rover Surveys J. Jakobi et al. 10.3389/frwa.2020.00010
- 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. 10.5194/essd-12-2289-2020
- Reply to Comment by Jakobi et al. (2020) on “Soil Texture Often Exerts a Stronger Influence Than Precipitation on Mesoscale Soil Moisture Patterns” J. Dong & T. Ochsner 10.1029/2020WR028756
- Neutrons on Rails: Transregional Monitoring of Soil Moisture and Snow Water Equivalent M. Schrön et al. 10.1029/2021GL093924
- Correction efficiency and error characteristics for cosmic-ray soil moisture on mountainous terrain J. Jeong et al. 10.1016/j.jhydrol.2021.126657
- Incoming Neutron Flux Corrections for Cosmic‐Ray Soil and Snow Sensors Using the Global Neutron Monitor Network D. McJannet & D. Desilets 10.1029/2022WR033889
- First implementation of a new cross-disciplinary observation strategy for heavy precipitation events from formation to flooding A. Wieser et al. 10.1007/s12665-023-11050-7
- Calibration and Validation of the Cosmic Ray Neutron Rover for Soil Water Mapping within Two South African Land Classes T. Vather et al. 10.3390/hydrology6030065
Latest update: 16 Jul 2024
Short summary
Satellite and broad-scale model estimates of soil moisture have improved in resolution. However, validation and calibration of these products has been limited because of a lack of observations on corresponding scales. We use a mobile soil moisture monitoring platform, known as the
rover, to derive soil moisture at 9 km and 1 km resolution. We describe methods to calculate soil moisture and present results from multiple surveys. The products produced are well suited to validation studies.
Satellite and broad-scale model estimates of soil moisture have improved in resolution. However,...
