Rapid prediction of soil water retention using mid infrared spectroscopy

Soil Science Society of America Journal

Volumn 71, Issue 2, 2007, Pages 507-514

  Janik, L J ^a   Merry, R H ^a   Forrester, S T ^a   Lanyon, D M ^a   Rawson, A ^b  

^a CSIRO   (Australia)

^b CHARLES STURT UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; WATER CONTENT;

PARTIAL LEAST SQUARES (PLS); SOIL WATER RETENTION;

SOIL SURVEYS;

LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; SOIL SURVEYS; WATER CONTENT;

CALIBRATION; INFRARED SPECTROSCOPY; PEDOTRANSFER FUNCTION; PREDICTION; RETENTION; SOIL MOISTURE; SOIL TEXTURE; SOIL WATER; WILTING;

AUSTRALASIA; AUSTRALIA;

EID: 33947382553     PISSN: 03615995     EISSN: None     Source Type: Journal    
DOI: 10.2136/sssaj2005.0391     Document Type: Article

References (28)

1. Arya, L.M., and J.F. Paris. 1981. A physicoempirical model to predict the soil moisture characteristic from particle size distribution and bulk density data. Soil Sci. Soc. Am. J. 45:1023-1030.
2. Bastet, G., A. Bruand, M. Voltz, M. Bornand, and P. Quétin. 1997. Performance of available pedotransfer functions for predicting the water retention properties of French soils. p. 981-991. In M.Th. van Genuchten et al. (ed.) Characterization and measurement of the hydraulic properties of unsaturated porous media. Univ. of California, Riverside, CA.
3. Chang, G.W., D.A. Laird, and G.R. Hurburgh. 2005. Influence of soil moisture on near-infrared reflectance spectroscopic measurement of soil properties. Soil Sci. 170:244-255.
4. Cozzolino, D., A.F. Montossi, and R. San Julian. 2005. The use of visible (VIS) and near infrared (NIR) reflectance spectroscopy to predict fibre diameter in both clean and greasy wool samples. Anim. Sci. 80:333-338.
5. Cresswell, H.P. 2002. The soil water characteristic. p. 59-84. In N.J. McKenzie et al. (ed.) Soil physical measurement and interpretation for land evaluation. CSIRO Publ., Melbourne.
6. da Silva, L.M., and B.D. Kay. 1997. Estimating the least limiting water range of soils from properties and management. Soil Sci. Soc. Am. J. 61:877-383.
7. Dixon, J.B., and S.B. Weed. 1989. Minerals in soil environments. 2nd ed. SSSA Book Set. 1, SSSA, Madison, WI.
8. Geladi, P., and B.R. Kowalski. 1986. Partial least-squares regression: A tutorial. Anal. Chim. Acta 185:1-17.
9. Haaland, D.M., and VT. Thomas. 1988. Partial least-squares methods for spectral analyses. 1. Relation to other quantitative calibration methods and the extraction of qualitative information. Anal. Chem. 60:1193-1202.
10. Haverkamp, R., and J.Y. Parlange. 1986. Predicting the water-retention curve from particle-size distribution: 1. Sandy soils without organic matter. Soil Sci. 142:325-339.
11. Janik, L.J., R.H. Merry, and J.O. Skjemstad. 1998. Can mid infrared diffuse reflectance analysis replace soil extractions? Aust. J. Exp. Agric. 38:681-696.
12. Janik, L.J., and J.O. Skjemstad. 1995. Characterization and analysis of soils using mid-infrared partial least squares. II. Correlations with some laboratory data. Aust. J. Soil Res. 33:637-650.
13. McCarty, G.W., J.B. Reeves III, R.F. Follett, and J.M. Kimble. 2002. Mid-infrared and near-infrared diffuse reflectance spectroscopy for soil carbon measurement. Soil Sci. Soc. Am. J. 66:640-646.
14. Minasny, B., A.B. McBratney, and K.L. Bristow. 1999. Comparison of different approaches to the development of pedotransfer functions for water retention curves. Geoderma 93:225-253.
15. Mullins, C.E., I.M. Young, A.G. Bengough, and G.J. Ley. 1987. Hard-sitting soils. Soil Use Manage. 3:79-83.
16. Nguyen, T.T., L.J. Janik, and M. Raupach. 1999. Diffuse reflectance infrared Fourier transform (DRIFT) spectroscopy in soil studies. Aust. J. Soil Res. 29:49-67.
17. Odlare, M., K. Svensson, and M. Pell. 2005. Near infrared reflectance spectroscopy for assessment of spatial soil variation in an agricultural field. Geoderma 126:193-202.
18. Rawls, W.J., D.L. Brakensiek, and K.E. Saxton. 1982. Estimation of soil water properties. Trans. ASAE 25:1316-1320.
19. Reeves, J.B., III, G.W McCarty, and J.J. Meisenger. 1999. Near-infrared diffuse reflectance spectroscopy for the analysis of agricultural soil. J. Near Infrared Spectrosc. 7:179-193.
20. Reeves, J.B., III, G.W. McCarty, and V.B. Reeves. 2001. Mid-infrared diffuse reflectance spectroscopy for the quantitative analysis of agricultural soil. J. Agric. Food Chem. 49:766-772.
21. Saxton, K.E., W.J. Rawls, J.S. Romberger, and R.I. Papendick. 1986. Estimating generalized soil-water characteristics from texture. Soil Sci. Soc. Am. J. 50:1031-1036.
22. van der Marel, H.W., and H. Beutelspacher. 1976. Clay and related minerals. In H.W. van der Marel and H. Beutelspacher (ed.) Atlas of infrared spectroscopy of day minerals and their admixtures. Elsevier Scientific, Amsterdam.
23. Vereecken, H., J. Maes, J. Feyen, and P. Darius. 1989. Estimating the soil moisture retention characteristic from texture, bulk density and carbon content. Soil Sci. 148:389-403.
24. Viscarra Rossel, R.A., and A.B. McBratney. 1998a. Soil chemical analytical accuracy and costs: Implications from precision agriculture. Aust. J. Exp. Agric. 38:765-775.
25. Viscarra Rossel, R.A., and A.B. McBratney. 1998b. Laboratory evaluation of a proximal sensing technique for simultaneous measurement of clay and water content. Geoderma 85:19-39.
26. Viscarra Rossel, R.A., D.J.J. Walvoort, A.B. McBratney, L.J. Janik, and J.O. Skjemstad. 2006. Visible, near-infrared, mid-infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131:59-75.
27. Williams, J., R.E. Prebble, W.T. Williams, and C.T. Hignett. 1983. The influence of texture, structure and clay mineralogy on the soil moisture characteristic. Aust. J. Soil Res. 21:15-32.
28. Zviaginal, B.B., D.K. McCarty, J. Rodo, and V.A. Drits. 2004. Interpretation of infrared spectra of dioctahedral smectites in the region of OH stretching vibrations. Clays Clay Miner. 52:399-410.