Articles | Volume 21, issue 4
https://doi.org/10.5194/hess-21-1875-2017
© 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-21-1875-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Apr 2017
Research article |
| 03 Apr 2017
Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception
Mie Andreasen
CORRESPONDING AUTHOR
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Copenhagen, Denmark
Karsten H. Jensen
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Copenhagen, Denmark
Darin Desilets
Hydroinnova LLC, Albuquerque, New Mexico, USA
Marek Zreda
Department of Hydrology and Water Resources, University of Arizona,
Arizona, USA
Heye R. Bogena
Agrosphere IBG-3, Forschungszentrum Jülich GmbH, Jülich, Germany
Majken C. Looms
Department of Geosciences and Natural Resource Management,
University of Copenhagen, Copenhagen, Denmark
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- Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions J. Jakobi et al. 10.1029/2018WR022692
- Sensing Area‐Average Snow Water Equivalent with Cosmic‐Ray Neutrons: The Influence of Fractional Snow Cover P. Schattan et al. 10.1029/2019WR025647
- Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods H. Bogena et al. 10.3389/frwa.2020.00019
- Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance K. Hwang et al. 10.1029/2022EF003314
- Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing P. Schattan et al. 10.1002/2016WR020234
- Factors Controlling Temporal Stability of Surface Soil Moisture: A Watershed‐Scale Modeling Study L. Wei et al. 10.2136/vzj2016.12.0132
- COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research H. Cooper et al. 10.5194/essd-13-1737-2021
- Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation S. Gianessi et al. 10.5194/gi-13-9-2024
- 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
- Estimating snow water equivalent using cosmic‐ray neutron sensors from the COSMOS‐UK network J. Wallbank et al. 10.1002/hyp.14048
- Signal contribution of distant areas to cosmic-ray neutron sensors – implications for footprint and sensitivity M. Schrön et al. 10.5194/hess-27-723-2023
- Advancing quantitative understanding of self-potential signatures in the critical zone through long-term monitoring K. Hu et al. 10.1016/j.jhydrol.2020.124771
- Effect of Biomass Water Dynamics in Cosmic-Ray Neutron Sensor Observations: A Long-Term Analysis of Maize–Soybean Rotation in Nebraska T. Morris et al. 10.3390/s24134094
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- Potential of Thermal Neutrons to Correct Cosmic‐Ray Neutron Soil Moisture Content Measurements for Dynamic Biomass Effects J. Jakobi et al. 10.1029/2022WR031972
- Multi-method soil moisture monitoring at two temperate forest stands in Germany J. Fäth & C. Kneisel 10.1007/s42452-024-06262-w
- Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions M. Andreasen et al. 10.1029/2019WR026588
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
- Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D. McJannet et al. 10.5194/hess-21-6049-2017
- Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models M. Duygu & Z. Akyürek 10.3390/w11071362
- 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
- Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- The Applicability of the Cosmic Ray Neutron Sensor to Simultaneously Monitor Soil Water Content and Biomass in an Acacia mearnsii Forest T. Vather et al. 10.3390/hydrology7030048
- Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
- Correction efficiency and error characteristics for cosmic-ray soil moisture on mountainous terrain J. Jeong et al. 10.1016/j.jhydrol.2021.126657
- The future of Earth observation in hydrology M. McCabe et al. 10.5194/hess-21-3879-2017
28 citations as recorded by crossref.
- A change in perspective: downhole cosmic-ray neutron sensing for the estimation of soil moisture D. Rasche et al. 10.5194/hess-27-3059-2023
- Land–atmosphere interactions in the tropics – a review P. Gentine et al. 10.5194/hess-23-4171-2019
- Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions J. Jakobi et al. 10.1029/2018WR022692
- Sensing Area‐Average Snow Water Equivalent with Cosmic‐Ray Neutrons: The Influence of Fractional Snow Cover P. Schattan et al. 10.1029/2019WR025647
- Monitoring of Snowpack Dynamics With Cosmic-Ray Neutron Probes: A Comparison of Four Conversion Methods H. Bogena et al. 10.3389/frwa.2020.00019
- Seeing the Disturbed Forest for the Trees: Remote Sensing Is Underutilized to Quantify Critical Zone Response to Unprecedented Disturbance K. Hwang et al. 10.1029/2022EF003314
- Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing P. Schattan et al. 10.1002/2016WR020234
- Factors Controlling Temporal Stability of Surface Soil Moisture: A Watershed‐Scale Modeling Study L. Wei et al. 10.2136/vzj2016.12.0132
- COSMOS-UK: national soil moisture and hydrometeorology data for environmental science research H. Cooper et al. 10.5194/essd-13-1737-2021
- Testing a novel sensor design to jointly measure cosmic-ray neutrons, muons and gamma rays for non-invasive soil moisture estimation S. Gianessi et al. 10.5194/gi-13-9-2024
- 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
- Estimating snow water equivalent using cosmic‐ray neutron sensors from the COSMOS‐UK network J. Wallbank et al. 10.1002/hyp.14048
- Signal contribution of distant areas to cosmic-ray neutron sensors – implications for footprint and sensitivity M. Schrön et al. 10.5194/hess-27-723-2023
- Advancing quantitative understanding of self-potential signatures in the critical zone through long-term monitoring K. Hu et al. 10.1016/j.jhydrol.2020.124771
- Effect of Biomass Water Dynamics in Cosmic-Ray Neutron Sensor Observations: A Long-Term Analysis of Maize–Soybean Rotation in Nebraska T. Morris et al. 10.3390/s24134094
- Towards disentangling heterogeneous soil moisture patterns in cosmic-ray neutron sensor footprints D. Rasche et al. 10.5194/hess-25-6547-2021
- Potential of Thermal Neutrons to Correct Cosmic‐Ray Neutron Soil Moisture Content Measurements for Dynamic Biomass Effects J. Jakobi et al. 10.1029/2022WR031972
- Multi-method soil moisture monitoring at two temperate forest stands in Germany J. Fäth & C. Kneisel 10.1007/s42452-024-06262-w
- Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions M. Andreasen et al. 10.1029/2019WR026588
- Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications M. Andreasen et al. 10.2136/vzj2017.04.0086
- Multiscale soil moisture estimates using static and roving cosmic-ray soil moisture sensors D. McJannet et al. 10.5194/hess-21-6049-2017
- Using Cosmic-Ray Neutron Probes in Validating Satellite Soil Moisture Products and Land Surface Models M. Duygu & Z. Akyürek 10.3390/w11071362
- 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
- Comprehensive quality assessment of satellite- and model-based soil moisture products against the COSMOS network in Germany T. Schmidt et al. 10.1016/j.rse.2023.113930
- Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing G. Baroni et al. 10.1016/j.jhydrol.2018.07.053
- The Applicability of the Cosmic Ray Neutron Sensor to Simultaneously Monitor Soil Water Content and Biomass in an Acacia mearnsii Forest T. Vather et al. 10.3390/hydrology7030048
- Extension of cosmic-ray neutron probe measurement depth for improving field scale root-zone soil moisture estimation by coupling with representative in-situ sensors H. Nguyen et al. 10.1016/j.jhydrol.2019.02.018
- Correction efficiency and error characteristics for cosmic-ray soil moisture on mountainous terrain J. Jeong et al. 10.1016/j.jhydrol.2021.126657
1 citations as recorded by crossref.
Latest update: 20 Nov 2024
Short summary
The cosmic-ray method holds a potential for quantifying canopy interception and biomass. We use measurements and modeling of thermal and epithermal neutron intensity in a forest to examine this potential. Canopy interception is a variable important to forest hydrology, yet difficult to monitor remotely. Forest growth impacts the carbon-cycle and can be used to mitigate climate changes by carbon sequestration in biomass. An efficient method to monitor tree growth is therefore of high relevance.
The cosmic-ray method holds a potential for quantifying canopy interception and biomass. We use...
