scholarly journals Accuracy and precision of the cosmic‐ray neutron sensor for soil moisture estimation at humid environments

2021 ◽  
Author(s):  
Joost Iwema ◽  
Martin Schrӧn ◽  
Juliana Koltermann Da Silva ◽  
Rodolfo Schweiser De Paiva Lopes ◽  
Rafael Rosolem
Keyword(s):  
Soil Moisture ◽  
Cosmic Ray ◽  
Accuracy And Precision ◽  
Moisture Estimation

Cosmic Ray Neutron Soil Moisture Estimation Using Physically Based Site‐Specific Conversion Functions

2020 ◽  
Vol 56 (11) ◽  
Author(s):  
Mie Andreasen ◽  
Karsten H. Jensen ◽  
Heye Bogena ◽  
Darin Desilets ◽  
Marek Zreda ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Cosmic Ray ◽  
Site Specific ◽  
Physically Based ◽  
Moisture Estimation

scholarly journals Status and Perspectives on the Cosmic-Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications

2017 ◽  
Vol 16 (8) ◽  
pp. vzj2017.04.0086 ◽  
Author(s):  
Mie Andreasen ◽  
Karsten H. Jensen ◽  
Darin Desilets ◽  
Trenton E. Franz ◽  
Marek Zreda ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Environmental Science ◽  
Cosmic Ray ◽  
Neutron Method ◽  
Moisture Estimation

scholarly journals A Novel Cosmic-Ray Neutron Sensor for Soil Moisture Estimation over Large Areas

Agriculture ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. 202 ◽  
Author(s):  
Luca Stevanato ◽  
Gabriele Baroni ◽  
Yafit Cohen ◽  
Cristiano Lino Fontana ◽  
Simone Gatto ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Soil Moisture Content ◽  
Cosmic Ray ◽  
Soil Heterogeneity ◽  
Robust Solution ◽  
Drought Prediction ◽  
New Instrument ◽  
Agricultural Applications ◽  
Water Accounting ◽  
Moisture Estimation

A correct soil moisture estimation is a fundamental prerequisite for many applications: agriculture, meteorological forecast, flood and drought prediction, and, in general, water accounting and management. Traditional methods typically provide point-like measurements, but suffer from soil heterogeneity, which can produce significant misinterpretation of the hydrological scenarios. In the last decade, cosmic-ray neutron sensing (CRNS) has emerged as a promising approach for the detection of soil moisture content. CRNS can average soil moisture over a large volume (up to tens of hectares) of terrain with only one probe, thus overcoming limitations arising from the heterogeneity of the soil. The present paper introduces the development of a new CRNS instrument designed for agricultural applications and based on an innovative neutron detector. The new instrument was applied and tested in two experimental fields located in Potsdam (DE, Germany) and Lagosanto (IT, Italy). The results highlight how the new detector could be a valid alternative and robust solution for the application of the CRNS technique for soil moisture measurements in agriculture.

Bulk soil moisture estimation using CosmOz cosmic ray sensor and ANFIS

2012 ◽  
Author(s):  
Ritaban Dutta ◽  
Andrew Terhorst ◽  
Aaron Hawdon ◽  
Bill Cotching
Keyword(s):  
Soil Moisture ◽  
Cosmic Ray ◽  
Bulk Soil ◽  
Moisture Estimation

scholarly journals Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception

2017 ◽  
Vol 21 (4) ◽  
pp. 1875-1894 ◽  
Author(s):  
Mie Andreasen ◽  
Karsten H. Jensen ◽  
Darin Desilets ◽  
Marek Zreda ◽  
Heye R. Bogena ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Epithermal Neutron ◽  
Neutron Transport ◽  
Estimation Method ◽  
Cosmic Ray ◽  
Ground Level ◽  
Field Site ◽  
Canopy Interception ◽  
Neutron Intensity ◽  
Moisture Estimation

Abstract. Cosmic-ray neutron intensity is inversely correlated to all hydrogen present in the upper decimeters of the subsurface and the first few hectometers of the atmosphere above the ground surface. This correlation forms the base of the cosmic-ray neutron soil moisture estimation method. The method is, however, complicated by the fact that several hydrogen pools other than soil moisture affect the neutron intensity. In order to improve the cosmic-ray neutron soil moisture estimation method and explore the potential for additional applications, knowledge about the environmental effect on cosmic-ray neutron intensity is essential (e.g., the effect of vegetation, litter layer and soil type). In this study the environmental effect is examined by performing a sensitivity analysis using neutron transport modeling. We use a neutron transport model with various representations of the forest and different parameters describing the subsurface to match measured height profiles and time series of thermal and epithermal neutron intensities at a field site in Denmark. Overall, modeled thermal and epithermal neutron intensities are in satisfactory agreement with measurements; however, the choice of forest canopy conceptualization is found to be significant. Modeling results show that the effect of canopy interception, soil chemistry and dry bulk density of litter and mineral soil on neutron intensity is small. On the other hand, the neutron intensity decreases significantly with added litter-layer thickness, especially for epithermal neutron energies. Forest biomass also has a significant influence on the neutron intensity height profiles at the examined field site, altering both the shape of the profiles and the ground-level thermal-to-epithermal neutron ratio. This ratio increases with increasing amounts of biomass, and was confirmed by measurements from three sites representing agricultural, heathland and forest land cover. A much smaller effect of canopy interception on the ground-level thermal-to-epithermal neutron ratio was modeled. Overall, the results suggest a potential to use ground-level thermal-to-epithermal neutron ratios to discriminate the effect of different hydrogen contributions on the neutron signal.

Uncertainty, sensitivity and improvements in soil moisture estimation with cosmic-ray neutron sensing

2018 ◽  
Vol 564 ◽  
pp. 873-887 ◽  
Author(s):  
G. Baroni ◽  
L.M. Scheiffele ◽  
M. Schrön ◽  
J. Ingwersen ◽  
S.E. Oswald
Keyword(s):  
Soil Moisture ◽  
Cosmic Ray ◽  
Moisture Estimation
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