- About this Journal ·
- Abstracting and Indexing ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Recently Accepted Articles ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
Applied and Environmental Soil Science
Volume 2012 (2012), Article ID 274903, 12 pages
The Effects of Spectral Pretreatments on Chemometric Analyses of Soil Profiles Using Laboratory Imaging Spectroscopy
1Environmental Remote Sensing and Geoinformatics, Trier University, 54286 Trier, Germany
2Lehrstuhl für Bodenkunde, Technische Universität München, 85350 Freising-Weihenstephan, Germany
Received 17 February 2012; Revised 11 May 2012; Accepted 18 September 2012
Academic Editor: Raphael Viscarra Rossel
Copyright © 2012 Henning Buddenbaum and Markus Steffens. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- E. R. Stoner and M. F. Baumgardner, “Characteristic variations in reflectance of surface soils,” Soil Science Society of America Journal, vol. 45, no. 6, pp. 1161–1165, 1981.
- E. Ben-Dor, S. Chabrillat, J. A. M. Demattê et al., “Using Imaging Spectroscopy to study soil properties,” Remote Sensing of Environment, vol. 113, pp. S38–S55, 2009.
- M. Vohland and C. Emmerling, “Determination of total soil organic C and hot water-extractable C from VIS-NIR soil reflectance with partial least squares regression and spectral feature selection techniques,” European Journal of Soil Science, vol. 62, no. 4, pp. 598–606, 2011.
- E. Ben-Dor, D. Heller, and A. Chudnovsky, “A novel method of classifying soil profiles in the field using optical means,” Soil Science Society of America Journal, vol. 72, no. 4, pp. 1113–1123, 2008.
- H. Buddenbaum and M. Steffens, “Laboratory imaging spectroscopy of soil profiles,” Journal of Spectral Imaging, vol. 2, pp. 1–5, 2011.
- H. Buddenbaum and M. Steffens, “Mapping the distribution of chemical properties in soil profiles using laboratory imaging spectroscopy, SVM and PLS regression,” EARSeL EProceedings, vol. 11, no. 1, pp. 25–32, 2012.
- F. A. Kruse, “Identification and mapping of minerals in drill core using hyperspectral image analysis of infrared reflectance spectra,” International Journal of Remote Sensing, vol. 17, no. 9, pp. 1623–1632, 1996.
- R. A. Viscarra Rossel and R. Webster, “Discrimination of Australian soil horizons and classes from their visible-near infrared spectra,” European Journal of Soil Science, vol. 62, no. 4, pp. 637–647, 2011.
- G. M. Vasques, S. Grunwald, and J. O. Sickman, “Comparison of multivariate methods for inferential modeling of soil carbon using visible/near-infrared spectra,” Geoderma, vol. 146, no. 1-2, pp. 14–25, 2008.
- A. Stevens, T. Udelhoven, A. Denis et al., “Measuring soil organic carbon in croplands at regional scale using airborne imaging spectroscopy,” Geoderma, vol. 158, no. 1-2, pp. 32–45, 2010.
- A. M. Mouazen, B. Kuang, J. De Baerdemaeker, and H. Ramon, “Comparison among principal component, partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy,” Geoderma, vol. 158, no. 1-2, pp. 23–31, 2010.
- J. Farifteh, F. Van der Meer, C. Atzberger, and E. J. M. Carranza, “Quantitative analysis of salt-affected soil reflectance spectra: a comparison of two adaptive methods (PLSR and ANN),” Remote Sensing of Environment, vol. 110, no. 1, pp. 59–78, 2007.
- K. D. Shepherd and M. G. Walsh, “Development of reflectance spectral libraries for characterization of soil properties,” Soil Science Society of America Journal, vol. 66, no. 3, pp. 988–998, 2002.
- C. Atzberger, M. Guérif, F. Baret, and W. Werner, “Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat,” Computers and Electronics in Agriculture, vol. 73, no. 2, pp. 165–173, 2010.
- C. W. Chang, D. A. Laird, M. J. Mausbach, and C. R. Hurburgh, “Near-infrared reflectance spectroscopy—principal components regression analyses of soil properties,” Soil Science Society of America Journal, vol. 65, no. 2, pp. 480–490, 2001.
- M. Schlerf, C. Atzberger, and J. Hill, “Remote sensing of forest biophysical variables using HyMap imaging spectrometer data,” Remote Sensing of Environment, vol. 95, no. 2, pp. 177–194, 2005.
- R. A. Viscarra Rossel and T. Behrens, “Using data mining to model and interpret soil diffuse reflectance spectra,” Geoderma, vol. 158, no. 1-2, pp. 46–54, 2010.
- S. Wold, M. Sjöström, and L. Eriksson, “PLS-regression: a basic tool of chemometrics,” Chemometrics and Intelligent Laboratory Systems, vol. 58, no. 2, pp. 109–130, 2001.
- S. Wold, J. Trygg, A. Berglund, and H. Antti, “Some recent developments in PLS modeling,” Chemometrics and Intelligent Laboratory Systems, vol. 58, no. 2, pp. 131–150, 2001.
- E. Ben-Dor, Y. Inbar, and Y. Chen, “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 Sensing of Environment, vol. 61, no. 1, pp. 1–15, 1997.
- T. Udelhoven, C. Emmerling, and T. Jarmer, “Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: a feasibility study,” Plant and Soil, vol. 251, no. 2, pp. 319–329, 2003.
- B. Stenberg and R. A. Viscarra Rossel, “Diffuse reflectance spectroscopy for high-resolution soil sensing,” in Proximal Soil Sensing, R. A. Viscarra Rossel, B. A. McBratney, and B. Minasny, Eds., pp. 29–47, Springer Science+Business, Dordrecht, The Netherlands, 2010.
- W. D. Hively, G. W. McCarty, J. B. Reeves, et al., “Use of airborne hyperspectral imagery to map soil properties in tilled agricultural fields,” Applied and Environmental Soil Science, vol. 2011, Article ID 358193, 13 pages, 2011.
- Å. Rinnan, F. V. D. Berg, and S. B. Engelsen, “Review of the most common pre-processing techniques for near-infrared spectra,” Trends in Analytical Chemistry, vol. 28, no. 10, pp. 1201–1222, 2009.
- O. P. Mehra and M. L. Jackson, “Iron oxide removal from soils and clays by a dithionite-citrate system buffered with sodium bicarbonate,” in Proceedings of the 7th National Conference on Clays and Clay Minerals, pp. 317–327, 1960.
- D. R. Peddle, H. P. White, R. J. Soffer, J. R. Miller, and E. F. LeDrew, “Reflectance processing of remote sensing spectroradiometer data,” Computers and Geosciences, vol. 27, no. 2, pp. 203–213, 2001.
- A. Savitzky and M. J. E. Golay, “Smoothing and differentiation of data by simplified least squares procedures,” Analytical Chemistry, vol. 36, no. 8, pp. 1627–1639, 1964.
- R. J. Barnes, M. S. Dhanoa, and S. J. Lister, “Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra,” Applied Spectroscopy, vol. 43, no. 5, pp. 772–777, 1989.
- O. Otto, Statistics and Computer Application in Analytical Chemistry, Wiley-VCH, Weinheim, Germany, 1998.
- D. Ertlen, D. Schwartz, M. Trautmann, R. Webster, and D. Brunet, “Discriminating between organic matter in soil from grass and forest by near-infrared spectroscopy,” European Journal of Soil Science, vol. 61, no. 2, pp. 207–216, 2010.
- B. L. Becker, D. P. Lusch, and J. Qi, “Identifying optimal spectral bands from in situ measurements of Great Lakes coastal wetlands using second-derivative analysis,” Remote Sensing of Environment, vol. 97, no. 2, pp. 238–248, 2005.
- Y. Li, T. H. Demetriades-Shah, E. T. Kanemasu, J. K. Shultis, and M. B. Kirkham, “Use of second derivatives of canopy reflectance for monitoring prairie vegetation over different soil backgrounds,” Remote Sensing of Environment, vol. 44, no. 1, pp. 81–87, 1993.
- W. Kessler, Multivariate Datenanalyse Für Die Pharma-, Bio. Und Prozessanalytik, Wiley-VCH, Weinheim, Germany, 2007.
- R. F. Kokaly and R. N. Clark, “Spectroscopic determination of leaf biochemistry using band-depth analysis of absorption features and stepwise multiple linear regression,” Remote Sensing of Environment, vol. 67, no. 3, pp. 267–287, 1999.
- M. Schlerf, C. Atzberger, J. Hill, H. Buddenbaum, W. Werner, and G. Schüler, “Retrieval of chlorophyll and nitrogen in Norway spruce (Picea abies L. Karst.) using imaging spectroscopy,” International Journal of Applied Earth Observation and Geoinformation, vol. 12, no. 1, pp. 17–26, 2010.
- B. Datt, “Visible/near infrared reflectance and chlorophyll content in Eucalyptus leaves,” International Journal of Remote Sensing, vol. 20, no. 14, pp. 2741–2759, 1999.
- H. Martens and E. Stark, “Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy,” Journal of Pharmaceutical and Biomedical Analysis, vol. 9, no. 8, pp. 625–635, 1991.
- M. Vohland, C. Bossung, and H. C. Fründ, “A spectroscopic approach to assess trace—heavy metal contents in contaminated floodplain soils via spectrally active soil components,” Journal of Plant Nutrition and Soil Science, vol. 172, no. 2, pp. 201–209, 2009.
- D. J. Brus, B. Kempen, and G. B. M. Heuvelink, “Sampling for validation of digital soil maps,” European Journal of Soil Science, vol. 62, no. 3, pp. 394–407, 2011.
- R. A. V. Rossel and C. Chen, “Digitally mapping the information content of visible-near infrared spectra of surficial Australian soils,” Remote Sensing of Environment, vol. 115, no. 6, pp. 1443–1455, 2011.
- L. Kooistra, R. Wehrens, R. S. E. W. Leuven, and L. M. C. Buydens, “Possibilities of visible-near-infrared spectroscopy for the assessment of soil contamination in river floodplains,” Analytica Chimica Acta, vol. 446, no. 1-2, pp. 97–105, 2001.