Which strategy is best to predict soil properties of a local site from a national Vis-NIR database?

Geoderma

Volumn 213, Issue , 2014, Pages 1-9

  Gogé, Fabien ^a   Gomez, Cécile ^b   Jolivet, Claudy ^c   Joffre, Richard ^a  

^a CNRS   (France)

^b UMR LISAH   (France)

^c Centre de recherche d'Orléans   (France)

Author keywords

Fast Fourier transform local weighted regression; Near infrared spectroscopy; Soil library; Spectral database; Spiking; Vis NIR spectroscopy

Indexed keywords

ACCURATE PREDICTION; GEOLOGIC CHARACTERISTICS; LOCAL WEIGHTED REGRESSION; PARTIAL LEAST SQUARE (PLS); SPECTRAL DATABASE; SPIKING; VIS-NIR SPECTROSCOPY; VISIBLE AND NEAR-INFRARED SPECTROSCOPY;

CALCIUM CARBONATE; FAST FOURIER TRANSFORMS; FORECASTING; INFRARED DEVICES; LIBRARIES; NEAR INFRARED SPECTROSCOPY; REGRESSION ANALYSIS;

DATABASE SYSTEMS;

ACCURACY ASSESSMENT; DATABASE; ESTIMATION METHOD; LIFE HISTORY TRAIT; LOCAL ADAPTATION; NATIONAL PLANNING; NONLINEARITY; REGRESSION ANALYSIS; SAMPLING; SOIL ANALYSIS; SOIL PROPERTY;

FRANCE;

EID: 84882942957     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2013.07.016     Document Type: Article

References (39)

1. AFNOR NF ISO 11464. Qualité du sol. Prétraitement des échantillons pour analyses physico-chimiques 1994.
2. AFNOR NF ISO 14869-1. Qualité du sol. Mise en solution pour la détermination des teneurs élémentaires totales: Partie 1. Mise en solution par l'acide fluorhydrique et l'acide perchlorique 2001.
3. Arrouays D., Jolivet C., Boulonne L., Bodineau G., Saby N., Grolleau E. A new initiative in France: a multi-institutional soil quality monitoring network. Comptes Rendus de l'Academie d' Agriculture de France 2002, 88:93-105.
4. Brown D.J. Using a global VNIR soil-spectral library for local soil characterization and landscape modeling in a 2nd-order Uganda watershed. Geoderma 2007, 140(4):444-453.
5. Brown D.J., Bricklemyer R.S., Miller P.R. Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana. Geoderma 2005, 129(3-4):251-267.
6. Brown D.J., Shepherd K.D., Walsh M.G., Mays M.D., Reinsch T.G. Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma 2006, 132(3-4):273-290.
7. Chang C.W., Laird D.A., Mausbach M.J., Hurburgh C.R. Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties. Soil Science Society of America Journal 2001, 65(2):480-490.
8. Cohen M.J., Prenger J.P., DeBusk W.F. Visible-near infrared reflectance spectroscopy for rapid, nondestructive assessment of wetland soil quality. Journal of Environmental Quality 2005, 34(4):1422-1434.
9. Dardenne P., Pierna J.A.F. NIR data set is the object of a chemometric contest at 'Chimiometrie 2004'. Chemometrics and Intelligent Laboratory Systems 2006, 80(2):236-242.
10. Davies A.M.C., Britcher H.V., Franklin J.G., Ring S.M., Grant A., McClure W.F. The application of Fourier-transformed near-infrared spectra to quantitative-analysis by comparison of similarity indexes (CARNAC). Mikrochimica Acta 1988, 1(1-6):61-64.
11. Dunn B.W., Beecher H.G., Batten G.D., Ciavarella S. The potential of near-infrared reflectance spectroscopy for soil analysis-a case study from the Riverine Plain of south-eastern Australia. Australian Journal of Experimental Agriculture 2002, 42(5):607-614.
12. Fernandez-Pierna J.A., Dardenne P. Soil Parameter Quantification by NIRS as a Chemometric Challenge at 'Chimiometrie 2006', 9th Annual Chemometrics Congress 2006, 94-98. Elsevier Science Bv, Paris, France.
13. Gaffey S.J. Spectral reflectance of carbonate minerals in the visible and near-infrared (0.35-2.55microns)-calcite, aragonite, and dolomite. American Mineralogist 1986, 71(1-2):151-162.
14. Genot V., Colinet G., Bock L., Vanvyve D., Reusen Y., Dardenne P. Near infrared reflectance spectroscopy for estimating soil characteristics valuable in the diagnosis of soil fertility. Journal of Near Infrared Spectroscopy 2011, 19(2):117-138.
15. Gogé F., Joffre R., Jolivet C., Ross I., Ranjard L. Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database. Chemometrics and Intelligent Laboratory Systems 2012, 110:168-176.
16. Gomez C., Lagacherie P., Coulouma G. Continuum removal versus PLSR method for clay and calcium carbonate content estimation from laboratory and airborne hyperspectral measurements. Geoderma 2008, 148(2):141-148.
17. Guerrero C., Rossel R.A.V., Mouazen A.M. Special issue 'Diffuse reflectance spectroscopy in soil science and land resource assessment'. Geoderma 2010, 158(1-2):1-2. Preface.
18. Guerrero C., Zornoza R., Gomez I., Mataix-Beneyto J. Spiking of NIR regional models using samples from target sites: effect of model size on prediction accuracy. Geoderma 2010, 158(1-2):66-77.
19. Igne B., Reeves J.B., McCarty G., Hively W.D., Lund E., Hurburgh C.R. Evaluation of spectral pretreatments, partial least squares, least squares support vector machines and locally weighted regression for quantitative spectroscopic analysis of soils. Journal of Near Infrared Spectroscopy 2010, 18(3):167-176.
20. IUSS Working Group WRB World reference base for soil resources 2006. World Soil Resources Reports 2006, 103. FAO, Rome.
21. Kennard R.W., Stone L.A. Computer aided design of experiments. Technometrics 1969, 11(1):137-148.
22. Naes T., Isaksson T., Kowalski B. Locally weighted regression and scatter correction for near-infrared reflectance data. Analytical Chemistry 1990, 62(7):664-673.
23. Roweis S.T., Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290(5500):2323.
24. Saby N., Arrouays D., Boulonne L., Jolivet C., Pochot A. Geostatistical assessment of Pb in soil around Paris, France. Science of the Total Environment 2006, 367(1):212-221.
25. Sankey J.B., Brown D.J., Bernard M.L., Lawrence R.L. Comparing local vs. global visible and near-infrared (VisNIR) diffuse reflectance spectroscopy (DRS) calibrations for the prediction of soil clay, organic C and inorganic C. Geoderma 2008, 148(2):149-158.
26. Shenk J.S., Westerhaus M.O. ISI NIRS-2. Software for Near-infrared Instruments. User Manual 1991, Infrasoft International, Silverspring.
27. Shenk J.S., Westerhaus M.O. Population structuring of near-infrared spectra and modified partial least-squares regression. Crop Science 1991, 31(6):1548-1555.
28. Shenk J.S., Berzaghi P., Westerhaus M.O. Investigation of a LOCAL calibration procedure for near infrared instruments. Journal of Near Infrared Spectroscopy 1997, 5:223-232.
29. Shepherd K.D., Walsh M.G. Development of reflectance spectral libraries for characterization of soil properties. Soil Science Society of America Journal 2002, 66(3):988-998.
30. Stenberg B., Rossel R.A.V., Mouazen A.M., Wetterlind J. Visible and near infrared spectroscopy in soil science. Advances in Agronomy 2010, vol. 107:163-215. Elsevier Academic Press Inc., San Diego. D.L. Sparks (Ed.).
31. Terhoeven-Urselmans T., Michel K., Helfrich M., Flessa H., Ludwig B. Near-infrared spectroscopy can predict the composition of organic matter in soil and litter. Journal of Plant Nutrition and Soil Science Zeitschrift fur Pflanzenernahrung und Bodenkunde 2006, 169(2):168-174.
32. Udelhoven T., Emmerling C., Jarmer T. Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: a feasibility study. Plant and Soil 2003, 251(2):319-329.
33. Vasques G.M., Grunwald S., Sickman J.O. Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra. Geoderma 2008, 146(1-2):14-25.
34. Viscarra Rossel R.A., Walvoort D.J.J., McBratney A.B., Janik L.J., Skjemstad J.O. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 2006, 131(1-2):59-75.
35. Wetterlind J., Stenberg B. Near-infrared spectroscopy for within-field soil characterization: small local calibrations compared with national libraries spiked with local samples. European Journal of Soil Science 2010, 61(6):823-843.
36. Near-infrared Technology in the Agricultural and Food Industries 1987, American Association of Cereal Chemists, St. Paul, Minnesota, USA, (330 pp.). P. Williams, K. Norris (Eds.).
37. Wold S., Sjostrom M., Eriksson L. PLS-regression: A Basic Tool of Chemometrics, International Symposium on Partial Least Squares (PLS 99) 1999, 109-130. Elsevier Science Bv, Jouy En Josas, France.
38. Wu Y.Z., Chen J., Ji J.F., Gong P., Liao Q.L., Tian Q.J., Ma H.R. A mechanism study of reflectance spectroscopy for investigating heavy metals in soils. Soil Science Society of America Journal 2007, 71(3):918-926.
39. Zornoza R., Guerrero C., Mataix-Solera J., Scow K.M., Arcenegui V., Mataix-Beneyto J. Near infrared spectroscopy for determination of various physical, chemical and biochemical properties in Mediterranean soils. Soil Biology and Biochemistry 2008, 40(7):1923-1930.