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Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon
Stenberg, Bo
(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
:1-2
, 15-22
[Research article]
Official URL: http://dx.doi.org/10.1016/j.geoderma.2010.04.008 AbstractNumerous studies have examined the soil analytical potential of diffuse reflectance spectroscopy in the near infrared range, alone or combined with the visible range (Vis-NIR). Soil organic matter (SOM), soil organic carbon (SOC) and clay content are the most commonly and successfully predicted parameters, but predictions are quite variable due e.g. to the range of soil types covered by the calibrations. Especially organic matter predictions are also suggested to be influenced by for example soil moisture content and inclusion of the visible range in the calibration. Excess quartz sand is also suggested to have a negative influence. This study was undertaken to examine the effect of a selection of standardised sample pretreatment procedures, including rewetting, on predictions of clay and SOC content. A subset of 400 samples was selected from a dataset of 3000 Swedish agricultural soils to cover clay and organic matter contents without co-variation. The selected samples were analysed by NIR and Vis-NIR on air-dry samples, either carefully mixed to avoid stratification of particle size classes or shaken to promote separation, resulting in predominantly larger particles being analysed. Unshaken samples were also analysed immediately after standardised additional drying at 35°C for 12 hours and stepwise volumetric rewetting up to 30%. Shaking and additional drying had small negative effects on clay predictions, while drying only had small positive effects on SOC predictions. Volumetric rewetting to 20 or 30% before scanning reduced clay prediction errors by up to 15%, RMSEP reduced from 5.4 % clay to 4.5 % clay, and SOC prediction errors by up to 30%, from 0.9 % SOC to 0.6 % SOC, indicating that standardised rewetting should be considered. The mechanisms concerned could not be specifically identified, but known bands for water, hydroxyl and clay mineral-dependent absorption near 1400, 1900 and 2200 nm were involved in the improved clay calibrations and bands near 1700, 2000, 2300 and 2350 nm in the improved SOC calibrations. The SOC predictions were most inaccurate for soils with a high sand content. For these samples the average prediction error was more than twice as high as those for less sandy samples. Rewetting eliminated this bias, largely explaining the positive effects of rewetting. Authors/Creators: | Stenberg, Bo |
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Title: | Effects of soil sample pretreatments and standardised rewetting as interacted with sand classes on Vis-NIR predictions of clay and soil organic carbon |
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Series Name/Journal: | Geoderma |
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Year of publishing : | 2010 |
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Volume: | 158 |
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Number: | 1-2 |
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Page range: | 15-22 |
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Publisher: | Elsevier |
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ISSN: | 0016-7061 |
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Language: | English |
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Additional Information: | Originally published by Elsevier. http://dx.doi.org/10.1016/j.geoderma.2010.04.008 |
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Publication Type: | Research article |
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Refereed: | Yes |
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Full Text Status: | Public |
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Subjects: | Obsolete subject words > FORESTRY, AGRICULTURAL SCIENCES and LANDSCAPE PLANNING > Soil science |
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Keywords: | clay content, near infrared spectroscopy, partial least squares regression, soil organic carbon, spectral features, water effect |
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URN:NBN: | urn:nbn:se:slu:epsilon-8-740 |
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Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-8-740 |
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ID Code: | 5298 |
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Department: | (NL, NJ) > Dept. of Soil and Environment (S) > Dept. of Soil and Environment |
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Deposited By: |
Dr Bo Stenberg
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Deposited On: | 20 Sep 2010 00:00 |
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Metadata Last Modified: | 02 Dec 2014 10:38 |
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Repository Staff Only: item control page Related resources Related document* | Stenberg, Bo and Viscarra Rossel, Raphael A. and Mouazen, Abdul Mounem and Wetterlind, Johanna (2010). Visible and near infrared spectroscopy in soil science. Advances in agronomy. 107, 163-215 | Related document* | Wetterlind, Johanna and Stenberg, Bo and Jonsson, Anders (2008). Near infrared reflectance spectroscopy compared with soil clay and organic matter content for estimating within-field variation in N uptake in cereals. Plant and soil. 302:1-2, 317-327 | Related document* | Wetterlind, Johanna and Stenberg, Bo and Söderström, Mats (2008). The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale. Precision agriculture. 9:1-2, 57-69 | References* | Dunn, B.W. et al. (2002). 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 42(5), 607-614. | References* | Fystro, G. (2002). The prediction of C and N content and their potential mineralisation in heterogeneous soil samples using Vis-NIR spectroscopy and comparative methods. Plant and Soil 246(2), 139-149. | References* | Hummel, J.W., Sudduth, K.A. & Hollinger, S.E. (2001). Soil moisture and organic matter prediction of surface and subsurface soils using an NIR soil sensor. Computers and Electronics in Agriculture 32(2), 149-165. | References* | Islam, K., Singh, B. & McBratney, A. (2003). Simultaneous estimation of several soil properties by ultra-violet, visible, and near-infrared reflectance spectroscopy. Australian Journal of Soil Research 41(6), 1101-1114. | References* | Mouazen, A.M., De Baerdemaeker, J. & Ramon, H. (2005). Towards development of on-line soil moisture content sensor using a fibre-type NIR spectrophotometer. Soil and Tillage Research 80(1-2), 171-183. | References* | Shepherd, K.D. & Walsh, M.G. (2007). Review: Infrared spectroscopy - Enabling an evidence-based diagnostic surveillance approach to agricultural and environmental management in developing countries. Journal of Near Infrared Spectroscopy 15(1), 1-19. | References* | Udelhoven, T., Emmerling, C. & Jarmer, T. (2003). Quantitative analysis of soil chemical properties with diffuse reflectance spectrometry and partial least-square regression: A feasibility study. Plant and Soil 251(2), 319-329. | References* | Wetterlind, J., Stenberg, B. & Söderström, M. (2008). The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale. Precision Agriculture 9(1-2), 57-69. | References* | Viscarra Rossel, R.A. & McBratney, A.B. (1998). Laboratory evaluation of a proximal sensing technique for simultaneous measurement of soil clay and water content. Geoderma 85(1), 19-39. | References* | Viscarra Rossel, R.A. et al. (2006). Visible, near infrared, mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties. Geoderma 131(1-2), 59-75. | Is referenced by* | Genot, V., Colinet, G., Bock, L., Vanvyve, D., Reusen, Y. & Dardenne, P. (2011). Near infrared reflectance spectroscopy for estimating soil characteristics valuable in the diagnosis of soil fertility. Journal of Near Infrared Spectroscopy 19(2), 117-138. | Is referenced by* | Guerrero, C., Rossel, R.A.V. & Mouazen, A.M. (2010). Special issue 'Diffuse reflectance spectroscopy in soil science and land resource assessment'. Geoderma 158(1-2), 1-2. | Is referenced by* | Liu, Z.P., Shao, M.A. & Wang, Y.Q. (2012). Large-scale spatial variability and distribution of soil organic carbon across the entire Loess Plateau, China. Soil Research 50(2), 114-124. | Is referenced by* | O'Rourke, S.M., Argentati, I. & Holden, N.M. (2011). The effect of region of interest size on model calibration for soil organic carbon prediction from hyperspectral images of prepared soils. Journal of Near Infrared Spectroscopy 19(3), 161-170. | Is referenced by* | Wetterlind, J. & Stenberg, B. (2010). Near-infrared spectroscopy for within-field soil characterization: Small local calibrations compared with national libraries spiked with local samples. European Journal of Soil Science 61(6), 823-843. |
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