Soil Spectroscopy: An Alternative to Wet Chemistry for Soil Monitoring

Advances in Agronomy

Volumn 132, Issue , 2015, Pages 139-159

  Nocita, Marco ^a,c   Stevens, Antoine ^c   van Wesemael, Bas ^c   Aitkenhead, Matt ^d   Bachmann, Martin ^e   Barthès, Bernard ^f   Dor, Eyal Ben ^g   Brown, David J ^h   Clairotte, Michael ^e   Csorba, Adam ⁱ   Dardenne, Pierre ^j   Demattê, Jose A M ^k   Genot, Valerie ^b   Guerrero, Cesar ^l   Knadel, Maria ^m   Montanarella, Luca ^a   Noon, Carole ^c   Ramirez Lopez, Leonardo ⁿ   Robertson, Jean ^d   Sakai, Hiro ^o   Soriano Disla, Jose M ^p   Shepherd, Keith D ^q   Stenberg, Bo ^r   Towett, Erick K ^q   Vargas, Ronald ^s   Wetterlind, Johanna ^r   more..

^a EUROPEAN COMMISSION   (Belgium)

^b UNIVERSITY OF LIÈGE   (Belgium)

^c UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^d SCOTTISH CROP RESEARCH INSTITUTE   (United Kingdom)

^e GERMAN AEROSPACE CENTER DLR   (Germany)

^f INSTITUT DE RECHERCHE POUR LE DÉVELOPPEMENT   (France)

^g TEL AVIV UNIVERSITY   (Israel)

^h WASHINGTON STATE UNIVERSITY   (United States)

ⁱ SZENT ISTVÁN UNIVERSITY   (Hungary)

^j WALLOON AGRICULTURAL RESEARCH CENTRE   (Belgium)

^k UNIVERSITY OF SÃO PAULO   (Brazil)

^l MIGUEL HERNÁNDEZ UNIVERSITY   (Spain)

^m AARHUS UNIVERSITY   (Denmark)

ⁿ SWISS FEDERAL RESEARCH INSTITUTE WSL   (Switzerland)

^o RAILWAY TECHNICAL RESEARCH INSTITUTE   (Japan)

^p CSIRO   (Australia)

^q WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

^r SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^s FOOD AND AGRICULTURE ORGANIZATION OF THE UNITED NATIONS   (Italy)

more..

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84943200506     PISSN: 00652113     EISSN: None     Source Type: Book Series    
DOI: 10.1016/bs.agron.2015.02.002     Document Type: Article

References (77)

1. Abdi, D., Tremblay, G.F., Ziadi, N., Bélanger, G., Parent, L.-É., 2012. Predicting soil phosphorus-related properties using near-infrared reflectance spectroscopy. Soil Sci. Soc. Am. J. 76, 2318-2326.
2. Adar, S.Y., Shkolnisky, Y., Ben Dor, E., 2014. Change detection of soils under small-scale laboratory conditions using imaging spectroscopy sensors. Geoderma 216, 19-29.
3. Aenugu, H.P.R., Sathis Kumar, D., Srisudharson, P.N., Ghosh, S.S., Banji, D., 2011. Near infrared spectroscopy- an overview. Int. J. ChemTech Res. 3, 825-836.
4. Alpert, N.L., Keiser, W.E., Szymanski, H.A., 1970. Theory and Practice of Infrared Spectroscopy. Plenum Press, New York.
5. Bellinaso, H., Dematte, J.A.M., Araujo, S.R., 2010. Spectral library and its use in soil classification. Braz. J. Soil Sci. 34, 861-870.
6. Bellon-Maurel, V., McBratney, A., 2011. Near-infrared (NIR) and mid-infrared (MIR) spectroscopic techniques for assessing the amount of carbon stock in soils e critical review and research perspectives. Soil Biol. Biochem. 43, 1398-1410.
7. Ben-Dor, E., Banin, A., 1995. Near-infrared analysis as a rapid method to simultaneously evaluate several soil properties. Soil Sci. Soc. Am. J. 59, 364-372.
8. Ben Dor, E., Inbar, Y., Chen, Y., 1997. The reflectance spectra of organic matter in the visible near-infrared and short wave infrared region (400-2500 nm) during a controlled decomposition process. Remote Sens. Environ. 61, 1-15.
9. Ben Dor, E., Irons, J.R., Epema, J.F., 1999. Soil reflectance. In: Manual of Remote Sensing: Remote Sensing for the Earth Sciences, vol. 3. John Wiley & Sons, New York, pp. 111-188.
10. Ben Dor, E., Patkin, K., Banin, A., Karnieli, A., 2002. Mapping of several soil properties using DAIS-7915 hyperspectral scanner data. A case study over clayey soils in Israel. Int. J. Remote Sens. 23, 1043-1062.
11. Ben Dor, E., Chabrillat, S., Dematte, J.A.M., Taylor, G.R., Hill, J., 2009. Using imaging spectroscopy to study soil properties. Remote Sens. Environ. 113, 38-55.
12. Bornemann, L., Welp, G., Amelung, W., 2010. Particulate organic matter at field scale: rapid acquisition using mideinfrared spectroscopy. Soil Sci. Soc. Am. J. 74, 1147-1156.
13. Bowers, S., Hanks, R.J., 1965. Reflectance of radiant energy from soils. Soil Sci. 100, 130-138.
14. Brodsky, L., Klement, A., Penizek, V., Kodesova, R., Boruvka, L., 2011. Building soil spectral library of the Czech soils for quantitative digital soil mapping. Soil Water Res. 6, 165-172.
15. Brown, D.J., Bricklemyer, R.S., Miller, P.R., 2005. Validation requirements for diffuse reflectance soil characterization models with a case study of VNIR soil C prediction in Montana. Geoderma 129, 251-267.
16. Brown, D.J., Shepherd, K.D., Walsh, M.G., Dewayne Mays, M., Reinsch, T.G., 2006. Global soil characterization with VNIR diffuse reflectance spectroscopy. Geoderma 132, 273-290.
17. Calderon, F.J., Reeves III, J.B., Collins, H.P., Eldor, P.A., 2011. Chemical differences in soil organic matter fractions determined by diffuse-reflectance mid-infrared spectroscopy. Soil Sci. Soc. Am. J. 75, 568-579.
18. Cañasveras Sánchez, J., Barrón, V., Del Campillo, M., Viscarra Rossel, R.A., 2012. Reflectance spectroscopy: a tool for predicting soil properties related to the incidence of Fe chlorosis. Span. J. Agric. Res. 10, 1133-1142.
19. Clark, R.N., Roush, T.L., 1984. Reflectance spectroscopy: Quantitative analysis techniques for remote sensing applications. J. Geophys. Res. 89, 6329-6340.
20. Dalal, R.C., Henry, R.J., 1986. Simultaneous determination of moisture, organic carbon, and total nitrogen by near infrared reflectance spectrophotometry. Soil Sci. Soc. Am. J. 50, 120-123.
21. Davis, T., 1998. The history of near infrared spectroscopic analysis: past, present and future-from sleeping technique to the morning star of spectroscopy. Anal. Mag. 26, 17-19.
22. Demattê, J.A.M., Campos, R.C., Alves, M.C., Fiorio, P.R., Nanni, M.R., 2004. Visible- NIR reflectance: a new approach on soil evaluation. Geoderma 121, 95-112.
23. Demattê, J.A.M., Terra, F., 2014. Spectral pedology: a new perspective on evaluation of soils along pedogenetic alterations. Geoderma 217-218, 190-200.
24. Demyan, M.S., Rasche, F., Schulz, E., Breulmann, M., Muller, T., Cadisch, G., 2012. Use of specific peaks obtained by diffuse reflectance Fourier transform mid-infrared spectroscopy to study the composition of organic matter in a Haplic Chernozem. Eur. J. Soil Sci. 63, 189-199.
25. Deng, F., Minasny, B., Knadel, M., McBratney, A., Heckrath, G., Greve, M.H., 2013. Using vis-NIR spectroscopy for monitoring temporal changes in soil organic carbon. Soil Sci. 178, 389-399.
26. Dublin Core Metadata Initiative, 2013. http://dublincore.org/.
27. Eisele, A., Lau, I., Hewson, R., Carter, D., Wheaton, B., Ong, C., Cudahy, T.J., Chabrillat, S., Kaufmann, H., 2012. Applicability of the thermal infrared spectral region for the prediction of soil properties across semi-arid agricultural landscapes. Remote Sens. 4, 3265-3286.
28. Genot, V., Colinet, G., Bock, L., Vanvyve, D., Reusen, Y., Dardenne, P., 2011. Nearinfrared reflectance spectroscopy for estimating soil characteristics valuable in the diagnosis of soil fertility. J. Near Infrared Spectrosc. 19, 117-138.
29. Gerighausen, H., Menz, G., Kaufmann, H., 2012. Spatially explicit estimation of clay and organic carbon content in agricultural soils using multi-annual imaging spectroscopy data. Appl. Environ. Soil Sci. 23.
30. Gobrecht, A., Roger, J.M., Bellon-Maurel, V., 2014. Major issues of diffuse reflectance NIR spectroscopy in the specific context of soil carbon content estimation: a review. Adv. Agron. 123, 145-175.
31. Gogé, F., Joffre, R., Jolivet, C., Ross, I., Ranjard, L., 2012. Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database. Chemom. Intell. Lab. 110, 168-176.
32. Grinand, C., Barthès, B.G., Brunet, D., Kouakoua, E., Arrouays, D., Jolivet, C., Caria, G., Bernoux, M., 2012. Prediction of soil organic and inorganic carbon contents at a national scale (France) using mid-infrared reflectance spectroscopy (MIRS). Eur. J. Soil Sci. 63, 141-151.
33. Grunwald, S., Thompson, J.A., Boettinger, J.L., 2011. Digital soil mapping and modeling at continental scalese finding solutions for global issues. Soil Sci. Soc. Am. J. 75, 1201-1213.
34. Guerrero, C., Zornoza, R., Gomez, I., Mataix-Beneyto, J., 2010. Spiking of NIR regional models using samples from target sites: effect of model size on prediction accuracy. Geoderma 158, 66-77.
35. He, J., Song, H., García Pereira, A., Hernández Gómez, A., 2005. A new approach to predict N, P, K and OM content in a loamy mixed soil by using near infrared reflectance spectroscopy. Adv. Intell. Comput. 3644, 859-867.
36. Herzberg, G., 1945. Molecular Spectra and Molecular Structure: Infrared and Raman Spectra of Polyatomic Molecules. D Van Nostrand, New York.
37. International Organization for Standardisation (ISO), 2003. ISO 19115. http://www.iso. org/iso/catalogue_detail?csnumber1/426020.
38. Islam, K., Singh, B., McBratney, A., 2003. Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy. Soil Res. 41, 1101-1114.
39. IUSS Working Group WRB, 2006. World Reference Base for Soil Resources, second ed. FAO, Rome. World Soil Resources Reports No. 103.
40. Janik, L.J., Skjemstad, J.O., 1995. Characterization and analysis of soils using mid-infrared partial least-squares. II. Correlations with some laboratory data. Austr. J. Soil Res. 33, 637-650.
41. Knadel, M., Deng, F., Thomsen, A., Greve, H.M., 2012. Development of a Danish National Vis-NIR Soil Spectral Library for Soil Organic Carbon Determination. Digital Soil Assessments and beyond. CRC Press, Boca Raton, FL, pp. 403-408.
42. Louis, B.P., Saby, N.P.A., Orton, T.G., Lacarce, E., Boulonne, L., Jolivet, C., Ratié, C., Arrouays, D., 2014. Statistical sampling design impact on predictive quality of harmonization functions between soil monitoring networks. Geoderma 213, 133-143.
43. Malley, D.F., Martin, P.D., Ben-Dor, E., 2004. Application in analysis of soils. In: Roberts, C.A., Workman Jr., J., Reeves III, J.B. (Eds.), Near-Infrared Spectroscopy in Agriculture. American Society of Agronomy, Crop Science Society of America, Soil Science Society of America, pp. 729-784.
44. McCarty, G.W., Reeves III, J.B., Reeves, V.B., Follett, R.F., Kimble, J.M., 2002. Mid- Infrared and near-infrared diffuse reflectance spectroscopy for soil carbon measurement. Soil Sci. Soc. Am. J. 66, 640-646.
45. NASA, 2013. Directory Interchange Format Writer's Guide. http://gcmd.gsfc.nasa.gov/ add/difguide/index.html.
46. Nocita, M., Stevens, A., Noon, C., Van Wesemael, B., 2012. Prediction of soil organic carbon for different levels of soil moisture using Vis-NIR spectroscopy. Geoderma 199, 37-42.
47. Nocita, M., Stevens, A., Toth, G., Panagos, P., van Wesemael, B., Montanarella, L., 2014. Prediction of soil organic carbon content by diffuse reflectance spectroscopy using a local partial least square regression approach. Soil Biol. Biochem. 68, 337-347.
48. O'Rourke, S.M., Holden, N.M., 2011. Optical sensing and chemometric analysis of soil organic carbon e a cost effective alternative to conventional laboratory methods? Soil Use Manage. 27, 143-155.
49. Owen, A., 2000. Fundamentals of Modern UV-visible Spectroscopy. Agilent Technologies.
50. Pimstein, A., Notesco, G., Ben Dor, E., 2011. Performance of three identical spectrometers in retrieving soil reflectance under laboratory conditions. Soil Sci. Soc. Am. J. 75, 746-759.
51. Price, J.C., 1994. How unique are spectral signatures? Remote Sens. Environ. 49, 181-186.
52. Ramirez-Lopez, L., Behrens, T., Schmidt, K., Stevens, A., Demattê, J.A.M., Scholten, T., 2013. The spectrum-based learner: a new local approach for modeling soil vis- NIR spectra of complex datasets. Geoderma 195-196, 268-279.
53. Reeves III, J.B., Follett, R.F., McCarty, G.W., Kimble, J.M., 2006. Can near or mid-infrared diffuse reflectance spectroscopy be used to determine soil carbon pools? Commun. Soil Sci. Plant Anal. 37, 2307-2325.
54. Reeves III, J.B., 2010. Near-versus mid-infrared diffusive reflectance spectroscopy for soil analysis emphasizing carbon and laboratory versus on-site analysis: where are we and what needs to be done? Geoderma 158, 3-14.
55. Sanchez, P.A., Ahamed, S., Carre, F., Hartemink, A.E., Hempel, J., Huising, J., Lagacherie, P., McBratney, A.B., McKenzie, N.J., Mendoca-Santos, M.L., Minasny, B., Montanarella, L., Okoth, P., Palm, C.A., Sachs, J.D., Sheperd, K.S., Vagen, T.G., Vanlauwe, B., Walsh, M.G., Winowiecki, L.A., Zhang, G.L., 2009. Digital soil map of the world. Science 325, 680-681.
56. Soil Survey Staff, 1999. Soil Taxonomy: A Basic System of Soil Classification for Making and Interpreting Soil Surveys In: Natural Resources Conservation Service. U.S. Department of Agriculture Handbook, second ed., vol. 436.
57. Sørensen, L.K., Dalsgaard, S., 2005. Determination of clay and other soil properties by near infrared spectroscopy. Soil Sci. Soc. Am. J. 69, 159-167.
58. Soriano-Disla, J.M., Janik, L.J., Viscarra Rossel, R.A., MacDonald, L.M., McLaughlin, M.J., 2014. The performance of visible, near-, and mid-infrared reflectance spectroscopy for prediction of soil physical, chemical, and biological properties. Appl. Spectrosc. Rev. 49, 139-186.
59. Stenberg, B., Viscarra Rossel, R.A., Mouazen, A.M., Wetterlind, J., 2010. Visible and near infrared spectroscopy in soil science. Adv. Agron. 107, 163-215.
60. Stenberg, B., 2010. Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon. Geoderma 158, 15-22.
61. Stevens, A., Udelhoven, T., Denis, A., Tychon, B., Lioy, R., Hoffman, L., Van Wesemael, B., 2010. Measuring soil organic carbon in croplands at regional scales using imaging spectroscopy. Geoderma 158, 32-45.
62. Stevens, A., Nocita, M., Tóth, G., Montanarella, L., van Wesemael, B., 2013. Prediction of soil organic carbon at the European scale by visible and near infrared reflectance spectroscopy. PLoS One 8 (6), e66409.
63. Stoner, E.R., Baumgardner, M.F., 1981. Characteristic variations in reflectance of surface soils. Soil Sci. Soc. Am. J. 45, 1161-1165.
64. Stuart, B., 2004. Infrared Spectroscopy: Fundamentals and Applications. John Wiley & Sons, New York.
65. Schwartz, G., Ben-Dor, E., Eshel, G., 2012. Quantitative analysis of total petroleum hydrocarbons in soils: comparison between reflectance spectroscopy and solvent extraction by 3 certified laboratories. Appl. Environ. Soil Sci. 11.
66. Tivet, F., de Moraes Sa, J.C., Lal, R., Milori, D., Briedis, C., Letourmy, P., Pinheiro, L., Borszowskei, P.R., Hatman, D., 2013. Assessing humification and organic C compounds by laser-induced fluorescence and FTIR spectroscopies under conventional and no-till management in Brazilian Oxisols. Geoderma 207-208, 71-81.
67. Todorova, M., Atanassova, S., Lange, H., Pavlov, D., 2011. Estimation of total N, total P, pH and electrical conductivity in soil by near-infrared reflectance spectroscopy. Agr. Sci. Tech. 3, 50-54.
68. Tóth, G., Jones, A., Montanarella, L., 2013. The LUCAS topsoil database and derived information on the regional variability of cropland topsoil properties in the European Union. Environ. Monit. Assess. 185, 7409-7425.
69. USDA-United States Department of Agriculture, 2013. Rapid Carbon Assessment (RaCA) Methodology. Available at: http://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/ nrcs142p2_052841.pdf.
70. Van Reeuwjik, L.P., 2002. Procedure for Soil Analysis, sixth ed. ISRIC.
71. Vasques, G.M., Grunwald, S., Harris, W.G., 2010. Spectroscopic models of soil organic carbon in Florida, USA. J. Environ. Qual. 39, 923-934.
72. Viscarra Rossel, R.A., Walvoort, D.J.J., McBratney, A.B., Janik, L.J., Skjemstad, J.O., 2006. Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131, 59-75.
73. Viscarra Rossel, R.A., Cattle, S.R., Ortega, A., Fouad, Y., 2009. In situ measurements of soil colour, mineral composition and clay content by viseNIR spectroscopy. Geoderma 150, 253-266.
74. Viscarra Rossel, R.A., Behrens, T., 2010. Using data mining to model and interpret soil diffuse reflectance spectra. Geoderma 158, 46-54.
75. Viscarra Rossel, R.A., Webster, R., 2012. Predicting soil properties from the Australian soil visible near infrared spectroscopic database. Eur. J. Soil Sci. 63, 848-860.
76. Whiting, M.L., Li, L., Ustin, S.L., 2004. Predicting water content using Gaussian model on soil spectra. Remote Sens. Environ. 89, 535-552.
77. Zimmermann, M., Leifeld, J., Fuhrer, J., 2007. Quantifying soil organic carbon fractions by infrared-spectroscopy. Soil Biol. Biochem. 39, 224-231.