DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement

Abstract

Core Ideas First rigorous integration of VisNIR and LIBS spectroscopic techniques for soil profile C measurement. Field‐moist intact soil cores scanned with LIBS and VisNIR simulating in situ measurements. Combined VisNIR‐LIBS wavelengths selected by MRCE were split nearly equally between sensors, suggesting molecular and elemental information was successfully integrated for predicting TC, IC, and SOC. Stoichiometric relationships in LIBS elemental emissions are more strongly correlated to IC concentration than were carbonate absorptions in VisNIR. Lack of variation and consistent, definable chemical composition and stoichiometry likely contributed to poor LIBS and combined VisNIR – LIBS prediction accuracy for SOC. Soil organic carbon (SOC) measurement is critically important to quantify regional and global soil C stocks and better understand soil C biogeochemical processes. Recent studies employing laser‐induced breakdown spectroscopy (LIBS) and visible‐near infrared diffuse reflectance spectroscopy (vis–NIRS) indicate their potential for in situ soil C determination. Visible and near infrared diffuse reflectance spectroscopy and LIBS spectroscopy fundamentally differ and we hypothesize that their integration would provide improved soil C predictions. We report the first rigorous integration of vis–NIRS and LIBS, evaluating the precision of vis–NIRS, LIBS, and combined vis–NIRS‐LIBS spectra for simulated in situ soil profile total C (TC), inorganic C (IC)more » and SOC measurement. Three multivariate variable selection and regression approaches were evaluated for soil C prediction. The highest soil C prediction accuracies were observed using multivariate regression with covariance estimation (MRCE). Inorganic C was best predicted by LIBS, vis–NIRS provided better SOC predictions, and TC was best predicted using combined vis–NIRS‐LIBS data. Combined vis–NIRS‐LIBS did not consistently increase soil C prediction accuracy. Soil organic C was not well predicted, presumably due to challenges associated with scanning surfaces of intact soil cores, variable SOC chemistries, and low SOC variation in the dataset. Considering the challenging conditions under which combined vis–NIRS– LIBS was tested for soil C measurement, data integration and model calibrations had acceptable performance. Further testing under more controlled soil conditions with samples containing greater SOC diversity is necessary to determine the technical potential of combined vis–NIRS/LIBS for soil C determination.« less

Authors:
 [1];  [2];  [3];  [4]
  1. Washington State Univ. Crop and Soil Science Pullman WA 99164‐6420, Environmental &, Spaital Analytics Monsanto Company St. Louis MO 63167
  2. Washington State Univ. Crop and Soil Science Pullman WA 99164‐6420
  3. Western Data Analytics, LLC 85 S. Union Blvd. Lakwood CO 80228
  4. Los Alamos National Lab. Chemical Diagnostics and Engineering Group P.O.Box 1663 MSJ565 Los Alamos NM 57545
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1582110
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Soil Science Society of America Journal
Additional Journal Information:
Journal Name: Soil Science Society of America Journal Journal Volume: 82 Journal Issue: 6; Journal ID: ISSN 0361-5995
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
United States
Language:
English

Citation Formats

Bricklemyer, Ross S., Brown, David J., Turk, Philip J., and Clegg, Samuel. Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement. United States: N. p., 2018. Web. doi:10.2136/sssaj2017.09.0332.
Bricklemyer, Ross S., Brown, David J., Turk, Philip J., & Clegg, Samuel. Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement. United States. https://doi.org/10.2136/sssaj2017.09.0332
Bricklemyer, Ross S., Brown, David J., Turk, Philip J., and Clegg, Samuel. Thu . "Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement". United States. https://doi.org/10.2136/sssaj2017.09.0332.
@article{osti_1582110,
title = {Comparing vis–NIRS, LIBS, and Combined vis–NIRS‐LIBS for Intact Soil Core Soil Carbon Measurement},
author = {Bricklemyer, Ross S. and Brown, David J. and Turk, Philip J. and Clegg, Samuel},
abstractNote = {Core Ideas First rigorous integration of VisNIR and LIBS spectroscopic techniques for soil profile C measurement. Field‐moist intact soil cores scanned with LIBS and VisNIR simulating in situ measurements. Combined VisNIR‐LIBS wavelengths selected by MRCE were split nearly equally between sensors, suggesting molecular and elemental information was successfully integrated for predicting TC, IC, and SOC. Stoichiometric relationships in LIBS elemental emissions are more strongly correlated to IC concentration than were carbonate absorptions in VisNIR. Lack of variation and consistent, definable chemical composition and stoichiometry likely contributed to poor LIBS and combined VisNIR – LIBS prediction accuracy for SOC. Soil organic carbon (SOC) measurement is critically important to quantify regional and global soil C stocks and better understand soil C biogeochemical processes. Recent studies employing laser‐induced breakdown spectroscopy (LIBS) and visible‐near infrared diffuse reflectance spectroscopy (vis–NIRS) indicate their potential for in situ soil C determination. Visible and near infrared diffuse reflectance spectroscopy and LIBS spectroscopy fundamentally differ and we hypothesize that their integration would provide improved soil C predictions. We report the first rigorous integration of vis–NIRS and LIBS, evaluating the precision of vis–NIRS, LIBS, and combined vis–NIRS‐LIBS spectra for simulated in situ soil profile total C (TC), inorganic C (IC) and SOC measurement. Three multivariate variable selection and regression approaches were evaluated for soil C prediction. The highest soil C prediction accuracies were observed using multivariate regression with covariance estimation (MRCE). Inorganic C was best predicted by LIBS, vis–NIRS provided better SOC predictions, and TC was best predicted using combined vis–NIRS‐LIBS data. Combined vis–NIRS‐LIBS did not consistently increase soil C prediction accuracy. Soil organic C was not well predicted, presumably due to challenges associated with scanning surfaces of intact soil cores, variable SOC chemistries, and low SOC variation in the dataset. Considering the challenging conditions under which combined vis–NIRS– LIBS was tested for soil C measurement, data integration and model calibrations had acceptable performance. Further testing under more controlled soil conditions with samples containing greater SOC diversity is necessary to determine the technical potential of combined vis–NIRS/LIBS for soil C determination.},
doi = {10.2136/sssaj2017.09.0332},
journal = {Soil Science Society of America Journal},
number = 6,
volume = 82,
place = {United States},
year = {Thu Oct 18 00:00:00 EDT 2018},
month = {Thu Oct 18 00:00:00 EDT 2018}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
https://doi.org/10.2136/sssaj2017.09.0332

Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

Save / Share:

Works referenced in this record:

Variables Influencing the Precision of Laser-Induced Breakdown Spectroscopy Measurements
journal, May 1998


Total carbon measurement in whole tropical soil sample
journal, October 2008

  • da Silva, Robson M.; Milori, Débora M. B. P.; Ferreira, Edilene C.
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 63, Issue 10
  • DOI: 10.1016/j.sab.2008.09.003

Real-time measurement of soil attributes using on-the-go near infrared reflectance spectroscopy
journal, April 2008


Laser-induced breakdown spectroscopy for soil diagnostics
journal, June 2001


Novel Multivariate Analysis for Soil Carbon Measurements Using Laser-Induced Breakdown Spectroscopy
journal, January 2010

  • Martin, Madhavi Z.; Labbé, Nicole; André, Nicolas
  • Soil Science Society of America Journal, Vol. 74, Issue 1
  • DOI: 10.2136/sssaj2009.0102

The use of diffuse reflectance spectroscopy for in situ carbon and nitrogen analysis of pastoral soils
journal, January 2008

  • Kusumo, Bambang H.; Hedley, C. B.; Hedley, M. J.
  • Soil Research, Vol. 46, Issue 7
  • DOI: 10.1071/SR08118

Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties
journal, March 2006


Partial least-squares regression: a tutorial
journal, January 1986


Quantification of total carbon in soil using laser-induced breakdown spectroscopy: a method to correct interference lines
journal, January 2014

  • Nicolodelli, Gustavo; Marangoni, Bruno S.; Cabral, Jader S.
  • Applied Optics, Vol. 53, Issue 10
  • DOI: 10.1364/AO.53.002170

Near Infrared Reflectance Spectroscopy for the Analysis of Agricultural Soils
journal, June 1999

  • Reeves, J. B.; McCarty, G. W.; Meisinger, J. J.
  • Journal of Near Infrared Spectroscopy, Vol. 7, Issue 3
  • DOI: 10.1255/jnirs.248

High resolution applications of laser-induced breakdown spectroscopy for environmental and forensic applications
journal, December 2007

  • Martin, Madhavi Z.; Labbé, Nicole; André, Nicolas
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 62, Issue 12
  • DOI: 10.1016/j.sab.2007.10.046

Determination of Total Carbon and Nitrogen Content in a Range of Tropical Soils Using near Infrared Spectroscopy: Influence of Replication and Sample Grinding and Drying
journal, October 2006

  • Barthès, Bernard G.; Brunet, Didier; Ferrer, Henri
  • Journal of Near Infrared Spectroscopy, Vol. 14, Issue 5
  • DOI: 10.1255/jnirs.686

Near-Infrared Analysis as a Rapid Method to Simultaneously Evaluate Several Soil Properties
journal, March 1995


Pre-flight calibration and initial data processing for the ChemCam laser-induced breakdown spectroscopy instrument on the Mars Science Laboratory rover
journal, April 2013

  • Wiens, R. C.; Maurice, S.; Lasue, J.
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 82
  • DOI: 10.1016/j.sab.2013.02.003

Formation of Binary and Ternary Colloids and Dissolved Complexes of Organic Matter, Fe and As
journal, June 2010

  • Sharma, Prasesh; Ofner, Johannes; Kappler, Andreas
  • Environmental Science & Technology, Vol. 44, Issue 12
  • DOI: 10.1021/es100066s

Comparison of partial least squares and lasso regression techniques as applied to laser-induced breakdown spectroscopy of geological samples
journal, April 2012

  • Dyar, M. D.; Carmosino, M. L.; Breves, E. A.
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 70
  • DOI: 10.1016/j.sab.2012.04.011

Spectral reflectance of carbonate minerals in the visible and near infrared (0.35–2.55 um): Anhydrous carbonate minerals
journal, January 1987


Carbon and Nitrogen Analysis of Soil Fractions Using Near-Infrared Reflectance Spectroscopy
journal, January 1991


The potential of near-infrared reflectance spectroscopy to analyse soil chemical and physical characteristics
journal, February 2003


The pls Package: Principal Component and Partial Least Squares Regression in R
journal, January 2007

  • Mevik, Bjørn-Helge; Wehrens, Ron
  • Journal of Statistical Software, Vol. 18, Issue 2
  • DOI: 10.18637/jss.v018.i02

Simulated in situ characterization of soil organic and inorganic carbon with visible near-infrared diffuse reflectance spectroscopy
journal, July 2009


Relating Organic Matter and clay Content to the Multispectral Radiance of Soils
journal, January 1972


Recalibration of the Mars Science Laboratory ChemCam instrument with an expanded geochemical database
journal, March 2017

  • Clegg, Samuel M.; Wiens, Roger C.; Anderson, Ryan
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 129
  • DOI: 10.1016/j.sab.2016.12.003

Improved accuracy in quantitative laser-induced breakdown spectroscopy using sub-models
journal, March 2017

  • Anderson, Ryan B.; Clegg, Samuel M.; Frydenvang, Jens
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 129
  • DOI: 10.1016/j.sab.2016.12.002

Inorganic Carbon Analysis by Modified Pressure-Calcimeter Method
journal, January 2002

  • Sherrod, L. A.; Dunn, G.; Peterson, G. A.
  • Soil Science Society of America Journal, Vol. 66, Issue 1
  • DOI: 10.2136/sssaj2002.2990

Regression Shrinkage and Selection Via the Lasso
journal, January 1996


PLS-regression: a basic tool of chemometrics
journal, October 2001

  • Wold, Svante; Sjöström, Michael; Eriksson, Lennart
  • Chemometrics and Intelligent Laboratory Systems, Vol. 58, Issue 2
  • DOI: 10.1016/S0169-7439(01)00155-1

Investigation of laser-induced breakdown spectroscopy and multivariate analysis for differentiating inorganic and organic C in a variety of soils
journal, September 2013

  • Martin, Madhavi Z.; Mayes, Melanie A.; Heal, Katherine R.
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 87
  • DOI: 10.1016/j.sab.2013.05.026

The Elements of Statistical Learning
book, January 2009


Al(III) and Fe(III) binding by humic substances in freshwaters, and implications for trace metal speciation
journal, September 2002


Peak functions for modeling high resolution soil profile data
journal, October 2011


Elemental Analysis of Environmental and Biological Samples Using Laser‐Induced Breakdown Spectroscopy and Pulsed Raman Spectroscopy
journal, January 2005

  • Martin, Madhavi Z.; Wullschleger, Stan D.; Garten, Charles T.
  • Journal of Dispersion Science and Technology, Vol. 25, Issue 5
  • DOI: 10.1081/DIS-200027329

Sparse Multivariate Regression With Covariance Estimation
journal, January 2010

  • Rothman, Adam J.; Levina, Elizaveta; Zhu, Ji
  • Journal of Computational and Graphical Statistics, Vol. 19, Issue 4
  • DOI: 10.1198/jcgs.2010.09188

Intact Soil Core Total, Inorganic, and Organic Carbon Measurement Using Laser-Induced Breakdown Spectroscopy
journal, January 2011

  • Bricklemyer, Ross S.; Brown, David J.; Barefield, James E.
  • Soil Science Society of America Journal, Vol. 75, Issue 3
  • DOI: 10.2136/sssaj2009.0244

In Situ Characterization of Soil Clay Content with Visible Near-Infrared Diffuse Reflectance Spectroscopy
journal, January 2007

  • Waiser, Travis H.; Morgan, Cristine L. S.; Brown, David J.
  • Soil Science Society of America Journal, Vol. 71, Issue 2
  • DOI: 10.2136/sssaj2006.0211

Model Evaluation by Comparison of Model-Based Predictions and Measured Values
journal, January 2003


Measuring Total Soil Carbon with Laser-Induced Breakdown Spectroscopy (LIBS)
journal, November 2001

  • Cremers, David A.; Ebinger, Michael H.; Breshears, David D.
  • Journal of Environmental Quality, Vol. 30, Issue 6
  • DOI: 10.2134/jeq2001.2202

High spectral resolution reflectance spectroscopy of minerals
journal, January 1990

  • Clark, Roger N.; King, Trude V. V.; Klejwa, Matthew
  • Journal of Geophysical Research, Vol. 95, Issue B8
  • DOI: 10.1029/JB095iB08p12653

Near-Infrared Reflectance Spectroscopic Analysis of soil c and n
journal, January 2002


Global soil characterization with VNIR diffuse reflectance spectroscopy
journal, June 2006


On-the-go VisNIR: Potential and limitations for mapping soil clay and organic carbon
journal, January 2010


Multivariate analysis of remote laser-induced breakdown spectroscopy spectra using partial least squares, principal component analysis, and related techniques
journal, January 2009

  • Clegg, Samuel M.; Sklute, Elizabeth; Dyar, M. Darby
  • Spectrochimica Acta Part B: Atomic Spectroscopy, Vol. 64, Issue 1
  • DOI: 10.1016/j.sab.2008.10.045

Soil Organic Matter, CEC, and Moisture Sensing with a Portable NIR Spectrophotometer
journal, January 1993


Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy
journal, January 2003

  • Islam, Kamrunnahar; Singh, Balwant; McBratney, Alex
  • Soil Research, Vol. 41, Issue 6
  • DOI: 10.1071/SR02137

Laser-induced breakdown spectroscopy for the environmental determination of total carbon and nitrogen in soils
journal, January 2003

  • Martin, Madhavi Z.; Wullschleger, Stan D.; Garten, Charles T.
  • Applied Optics, Vol. 42, Issue 12
  • DOI: 10.1364/AO.42.002072

Near infrared reflectance spectroscopy compared with soil clay and organic matter content for estimating within-field variation in N uptake in cereals
journal, November 2007


Regularization Paths for Generalized Linear Models via Coordinate Descent
journal, January 2010

  • Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
  • Journal of Statistical Software, Vol. 33, Issue 1
  • DOI: 10.18637/jss.v033.i01

Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana
journal, December 2005


Simultaneous Determination of Moisture, Organic Carbon, and Total Nitrogen by Near Infrared Reflectance Spectrophotometry
journal, January 1986


Optimization of laser-induced breakdown spectroscopy for rapid geochemical analysis
journal, October 2010


Development of Reflectance Spectral Libraries for Characterization of Soil Properties
journal, May 2002

  • Shepherd, Keith D.; Walsh, Markus G.
  • Soil Science Society of America Journal, Vol. 66, Issue 3
  • DOI: 10.2136/sssaj2002.9880

Emerging technologies for in situ measurement of soil carbon
journal, December 2006


Potential Use of Near Infrared Reflectance Monitoring in Precision Agriculture
journal, June 2006

  • van Vuuren, J.; Meyer, J.; Claassens, A.
  • Communications in Soil Science and Plant Analysis, Vol. 37, Issue 15-20
  • DOI: 10.1080/00103620600817382

Extending the Applicability of Laser-Induced Breakdown Spectroscopy for Total Soil Carbon Measurement
journal, September 2003

  • Ebinger, Michael H.; Norfleet, M. Lee; Breshears, David D.
  • Soil Science Society of America Journal, Vol. 67, Issue 5
  • DOI: 10.2136/sssaj2003.1616