Cosmic Ray Neutron Sensing for Simultaneous Soil Water Content and Biomass Quantification in Drought Conditions

Understanding the feedback mechanisms between soil water content (SWC) and biomass production is important for sustainable resources management. Here we present a new method enabling simultaneous noninvasive measurements of SWC and biomass dynamics based on cosmic ray neutron sensing (CRNS). Recently, it was suggested that the neutron ratio (Nr) between thermal neutron (TN) and fast neutron (FN) intensity contains information on other hydrogen pools like vegetation, canopy interception, and snow. The aim of this study is to evaluate the accuracy of simultaneous measurements of SWC and biomass dynamics during agricultural drought conditions using CRNS probes. To this end, we instrumented an arable field cropped with sugar beet with CRNS probes and a wireless in situ SWC sensor network. Belowground and aboveground biomass were sampled in monthly intervals. We found a linear relationship between Nr and the aboveground biomass that allowed to continuously quantify the dry aboveground biomass development throughout the growing seasonwith a root-mean-square error from 0.14 to 0.22 kg/m. This information was used together with measured belowground biomass to correct for the effect of biomass on SWC determination with CRNS probes, which increased the accuracy of the SWC estimates considerably as indicated by the decrease of the root-mean-square error from 0.046 to 0.013 cm/cm. We anticipate that future research on the Nr can further improve the accuracy of SWC and biomass estimates and extend the application of CRNS to include canopy interception, ponding water, and snow water equivalent estimation for both stationary and roving CRNS systems.

[1]  B. Diekkrüger,et al.  Spatio-temporal soil moisture patterns - A meta-analysis using plot to catchment scale data , 2015 .

[2]  Simon Bennertz,et al.  Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[3]  Johan Alexander Huisman,et al.  Emerging methods for noninvasive sensing of soil moisture dynamics from field to catchment scale: a review , 2015 .

[4]  H. Hendricks Franssen,et al.  Accuracy of the cosmic‐ray soil water content probe in humid forest ecosystems: The worst case scenario , 2013 .

[5]  Keith R. Briffa,et al.  Wet and dry summers in Europe since 1750: evidence of increasing drought , 2009 .

[6]  Gabriele Baroni,et al.  A scaling approach for the assessment of biomass changes and rainfall interception using cosmic-ray neutron sensing , 2015 .

[7]  R. Srinivasan,et al.  Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring , 2005 .

[8]  T. Ferré,et al.  Field Validation of a Cosmic‐Ray Neutron Sensor Using a Distributed Sensor Network , 2012 .

[9]  G. Senay,et al.  A multi-source satellite data approach for modelling Lake Turkana water level: calibration and validation using satellite altimetry data , 2012 .

[10]  T. Ren,et al.  Soil water content determination with cosmic-ray neutron sensor: Correcting aboveground hydrogen effects with thermal/fast neutron ratio , 2016 .

[11]  Harrie-Jan Hendricks Franssen,et al.  Calibration of a catchment scale cosmic-ray probe network: A comparison of three parameterization methods , 2014 .

[12]  Roland Baatz,et al.  The TERENO‐Rur Hydrological Observatory: A Multiscale Multi‐Compartment Research Platform for the Advancement of Hydrological Science , 2018 .

[13]  A. Dai Drought under global warming: a review , 2011 .

[14]  H. Vereecken,et al.  Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket , 2014 .

[15]  W. James Shuttleworth,et al.  Ecosystem‐scale measurements of biomass water using cosmic ray neutrons , 2013 .

[16]  L. Samaniego,et al.  The German drought monitor , 2015 .

[17]  T. Ferré,et al.  Nature's neutron probe: Land surface hydrology at an elusive scale with cosmic rays , 2010 .

[18]  M. Zreda,et al.  On scaling cosmogenic nuclide production rates for altitude and latitude using cosmic-ray measurements , 2001 .

[19]  The Effect of Atmospheric Water Vapor on the Cosmic-ray Soil Moisture Signal , 2012 .

[20]  R. Scott,et al.  Measuring soil moisture content non‐invasively at intermediate spatial scale using cosmic‐ray neutrons , 2008 .

[21]  Johan Alexander Huisman,et al.  Effective Calibration of Low-Cost Soil Water Content Sensors , 2017, Sensors.

[22]  M. Schrön Cosmic-ray neutron sensing and its applications to soil and land surface hydrology , 2017 .

[23]  Miroslav Šejna,et al.  Development and Applications of the HYDRUS and STANMOD Software Packages and Related Codes , 2008 .

[24]  Lutz Weihermüller,et al.  Linking satellite derived LAI patterns with subsoil heterogeneity using large-scale ground-based electromagnetic induction measurements , 2015 .

[25]  Muddu Sekhar,et al.  Validation of Spaceborne and Modelled Surface Soil Moisture Products with Cosmic-Ray Neutron Probes , 2017, Remote. Sens..

[26]  Irena Hajnsek,et al.  A Network of Terrestrial Environmental Observatories in Germany , 2011 .

[27]  Heather McNairn,et al.  International Journal of Applied Earth Observation and Geoinformation , 2014 .

[28]  Johan Alexander Huisman,et al.  Mapping the spatial variation of soil water content at the field scale with different ground penetrating radar techniques , 2007 .

[29]  Stefan Achleitner,et al.  Continuous monitoring of snowpack dynamics in alpine terrain by aboveground neutron sensing , 2017 .

[30]  Darin Desilets,et al.  Spatial and temporal distribution of secondary cosmic-ray nucleon intensities and applications to in situ cosmogenic dating , 2003 .

[31]  H. Franssen,et al.  Soil hydrology: Recent methodological advances, challenges, and perspectives , 2015 .

[32]  C. Malmström,et al.  The effects of phenology on indirect measures of aboveground biomass in annual grasses , 2009 .

[33]  M. Zreda,et al.  Footprint characteristics revised for field‐scale soil moisture monitoring with cosmic‐ray neutrons , 2015, 1602.04469.

[34]  M. Zreda,et al.  Modeling cosmic ray neutron field measurements , 2016 .

[35]  Andreas Güntner,et al.  Use of cosmic-ray neutron sensors for soil moisture monitoring in forests , 2015 .

[36]  K. Jensen,et al.  Cosmic-ray neutron transport at a forest field site: the sensitivity to various environmental conditions with focus on biomass and canopy interception , 2017 .

[37]  J. Passioura,et al.  Improving Productivity of Crops in Water-Limited Environments , 2010 .

[38]  J. Wallace,et al.  Calibration and correction procedures for cosmic‐ray neutron soil moisture probes located across Australia , 2014 .

[39]  A. P. Annan,et al.  Electromagnetic determination of soil water content: Measurements in coaxial transmission lines , 1980 .

[40]  Luca Brocca,et al.  Combined analysis of soil moisture measurements from roving and fixed cosmic ray neutron probes for multiscale real‐time monitoring , 2015 .

[41]  Irena Hajnsek,et al.  TERENO - Long-term monitoring network for terrestrial environmental research , 2012 .

[42]  Jarosław Zawadzki,et al.  Comparative study of soil moisture estimations from SMOS satellite mission, GLDAS database, and cosmic-ray neutrons measurements at COSMOS station in Eastern Poland , 2016 .

[43]  L. Weihermüller,et al.  Multi-site Calibration and Validation of a Net Ecosystem Carbon Exchange Model for Croplands , 2017 .

[44]  W. J. Shuttleworth,et al.  COSMOS: the COsmic-ray Soil Moisture Observing System , 2012 .

[45]  S. Oswald,et al.  Integral quantification of seasonal soil moisture changes in farmland by cosmic-ray neutrons , 2011 .

[46]  Brian K. Hornbuckle,et al.  The potential of the COSMOS network to be a source of new soil moisture information for SMOS and SMAP , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[47]  Auro C. Almeida,et al.  Field testing of the universal calibration function for determination of soil moisture with cosmic‐ray neutrons , 2014 .

[48]  Thomas Gaiser,et al.  What role can crop models play in supporting climate change adaptation decisions to enhance food security in Sub-Saharan Africa? , 2014 .

[49]  Marek Zreda,et al.  Status and Perspectives on the Cosmic‐Ray Neutron Method for Soil Moisture Estimation and Other Environmental Science Applications , 2017 .

[50]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[51]  H. Jones Irrigation scheduling: advantages and pitfalls of plant-based methods. , 2004, Journal of experimental botany.

[52]  H. Hendricks Franssen,et al.  An empirical vegetation correction for soil water content quantification using cosmic ray probes , 2015 .

[53]  T. Hoar,et al.  Evaluation of a cosmic-ray neutron sensor network for improved land surface model prediction , 2017 .

[54]  Vinodkumar,et al.  Comparison of soil wetness from multiple models over Australia with observations , 2017 .

[55]  C. Rebmann,et al.  Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity , 2017 .

[56]  Rafael Rosolem,et al.  Measurement depth of the cosmic ray soil moisture probe affected by hydrogen from various sources , 2012 .

[57]  H. Vereecken,et al.  Potential of Wireless Sensor Networks for Measuring Soil Water Content Variability , 2010 .

[58]  Stefan Achleitner,et al.  Monitoring of snowpack dynamics in mountainous terrain by cosmic-ray neutron sensing compared to Terrestrial Laser Scanning observations , 2017 .

[59]  Gururaj Hunsigi,et al.  Irrigation and drainage , 2009 .

[60]  Rafael Rosolem,et al.  The Effect of Atmospheric Water Vapor on Neutron Count in the Cosmic-Ray Soil Moisture Observing System , 2013 .

[61]  Corinna Rebmann,et al.  Improving Calibration and Validation of Cosmic-Ray NeutronSensors in the Light of Spatial Sensitivity – Theory and Evidence , 2017 .

[62]  A. Nguy-Robertson,et al.  Incorporation of globally available datasets into the roving cosmic-ray neutron probe method for estimating field-scale soil water content , 2016 .

[63]  Rafael Rosolem,et al.  A universal calibration function for determination of soil moisture with cosmic-ray neutrons , 2012 .