Soil classification using visible/near-infrared diffuse reflectance spectra from multiple depths

Geoderma

Volumn 223-225, Issue 1, 2014, Pages 73-78

  Vasques, G M ^a   Dematte J A M ^b   Viscarra Rossel, Raphael A ^c   Ramirez Lopez L ^d,e,f   Terra, F S ^b  

^a EMBRAPA CERRADOS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c CSIRO   (Australia)

^d SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^e ETH ZURICH   (Switzerland)

^f UNIVERSITY OF TÜBINGEN   (Germany)

Author keywords

Brazilian Soil Classification System; Multinomial logistic regression; Multivariate classification; Principal component analysis; Visible near infrared diffuse reflectance spectroscopy

Indexed keywords

MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SOIL SURVEYS; SPECTROSCOPY;

BRAZILIAN SOILS; CLASSIFICATION MODELS; DIFFUSE REFLECTANCE SPECTROSCOPY; DIFFUSE REFLECTANCE SPECTRUM; INHERENT COMPLEXITY; MULTINOMIAL LOGISTIC REGRESSION; MULTIVARIATE CLASSIFICATION; TEXTURAL CLASSIFICATION;

SOILS;

CALIBRATION; COST-BENEFIT ANALYSIS; MULTIVARIATE ANALYSIS; NUMERICAL MODEL; SOIL CLASSIFICATION; SOIL SURVEY; SOIL TYPE; SPECTRAL REFLECTANCE; TROPICAL ENVIRONMENT;

BRAZIL;

EID: 84897111897     PISSN: 00167061     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.geoderma.2014.01.019     Document Type: Article

References (26)

1. Agresti A. Categorical Data Analysis 2002, John Wiley & Sons, New York.
2. Camargo O.A., Moniz A.C., Jorge J.A., Valadares J.M.A.S. Métodos de Análise Química, Mineralógica e Física de Solos do Instituto AgronÔmico de Campinas 1986, Instituto AgronÔmico de Campinas, Campinas.
3. CEPAGRI (Centro de Pesquisas Meteorológicas e Climáticas Aplicadas à Agricultura) Clima dos municípios paulistas: Piracicaba Available at, (verified 10 March 2011). http://www.cpa.unicamp.br/outras-informacoes/clima_muni_436.html.
4. Chang C.-W., Laird D.A., Mausbach M.J., Hurburgh C.R. Near-infrared reflectance spectroscopy-principal components regression analyses of soil properties. Soil Sci. Soc. Am. J. 2001, 65:480-490.
5. da Costa A.C.S., Nanni M.R. Classification systems: Brazilian. Encyclopedia of Soil Science 2006, 234-238. CRC Press, Boca Raton. second ed. R. Lal (Ed.).
6. Demattê J.A.M., Campos R.C., Alves M.C., Fiorio P.R., Nanni M.R. Visible-NIR reflectance: a new approach on soil evaluation. Geoderma 2004, 121:95-112.
7. Du C., Zhou J. Evaluation of soil fertility using infrared spectroscopy: a review. Environ. Chem. Lett. 2009, 7:97-113.
8. Du C., Linker R., Shaviv A. Identification of agricultural Mediterranean soils using mid-infrared photoacoustic spectroscopy. Geoderma 2008, 143:85-90.
9. EMBRAPA (Empresa Brasileira de Pesquisa Agropecuária) Sistema Brasileiro de Classificação de Solos 2006, EMBRAPA, Brasília.
10. Fiorio P.R., Demattê J.A.M., Nanni M.R., Formaggio A.R. Diferenciação espectral de solos utilizando dados obtidos em laboratório e por sensor orbital. Bragantia 2010, 69:453-466.
11. Gaffey S.J., McFadden L.A., Nash D., Pieters C.M. Ultraviolet, visible, and near-infrared reflectance spectroscopy: laboratory spectra of geologic materials. Remote Geochemical Analysis: Elemental and Mineralogical Composition 1993, 43-77. Cambridge University Press, Cambridge. C.M. Pieters, P.E. Englert (Eds.).
12. Goddu R.F., Delker D.A. Anal. Chem. 1960, 32:140-141.
13. Harman H.H. Modern Factor Analysis 1976, University of Chicago Press, Chicago.
14. Hunt G.R. Spectral signatures of particulate minerals in the visible and near infrared. Geophysics 1977, 42:501-513.
15. Hunt G.R., Salisbury J.W. Visible and near-infrared spectra of minerals and rocks: I. Silicates minerals. Mod. Geol. 1970, 1:283-300.
16. Hunt G.R., Salisbury J.W., Lenhoff C.J. Visible and near-infrared spectra of minerals and rocks: III. Oxides and hydroxides. Mod. Geol. 1971, 2:195-205.
17. Linker R. Soil classification via mid-infrared spectroscopy. Computer and Computing Technologies in Agriculture, 2 2008, 1137-1146. Springer, Boston. D. Li (Ed.).
18. Mezzalira, S., 1966. Folha Geológica de Piracicaba. Folha SF-23-M-300. Instituto Geográfico e Geológico do Estado de São Paulo, São Paulo. (Scale: 1:100,000).
19. Mouazen A.M., Karoui R., de Baerdemaeker J., Ramon H. Classification of soil texture classes by using soil visual near infrared spectroscopy and factorial discriminant analysis techniques. J. Near Infrared Spectrosc. 2005, 13:231-240.
20. Nanni M.R., Demattê J.A.M., Fiorio P.R. Análise discriminante dos solos por meio da resposta espectral no nível terrestre. Pesq. Agrop. Brasileira 2004, 39:995-1006.
21. Savitzky A., Golay M.J.E. Smoothing and differentiation of data by simplified least squares procedures. Anal. Chem. 1964, 36:1627-1639.
22. Soil Survey Staff Keys to Soil Taxonomy 2010, United States Department of Agriculture, Washington.
23. Stenberg B., Viscarra Rossel R.A., Mouazen A.M., Wetterlind J. Visible and near infrared spectroscopy in soil science. Advances in Agronomy, 107 2010, 163-215. Academic Press, Amsterdam. D.L. Sparks (Ed.).
24. 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, 146:14-25.
25. 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, 131:59-75.
26. Viscarra Rossel R.A., Webster R. Discrimination of Australian soil horizons and classes from their visible-near infrared spectra. European Journal of Soil Science 2011, 62:637-647.