2001
DOI: 10.1021/jf0011283
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Mid-infrared Diffuse Reflectance Spectroscopy for the Quantitative Analysis of Agricultural Soils

Abstract: Soil samples were analyzed conventionally and by mid-infrared diffuse reflectance spectroscopy for total C, total N, pH, and measures of biological activity. Ground, non KBr diluted, samples (n = 180) from experimental plots (two locations, three replicate plots, under plow and no-till practices, three rates of N fertilizer, and from five depths) were scanned from 4000 to 400 cm(-1) (4-cm(-1) resolution, 64 co-added scans) on a DigiLab FTS-60 Fourier transform spectrometer using a custom-made linear sample tra… Show more

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Cited by 149 publications
(102 citation statements)
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“…Fourier-transformed MidIR spectroscopy is a quick and nondestructive technology that has been used to calibrate for SOC in diverse sets of samples (McCarty and Reeves, 2000;Reeves et al, 2001;McCarty et al, 2002), indicating that the MidIR region contains spectral information related to a variety of soil chemical attributes. Th e MidIR region (4000-400 cm −1 ) is characterized by strong vibration fundamentals, and can be used for spectral interpretation of sample composition, because the MidIR spectra show peaks or bands that can be assigned to specifi c organic or mineral spectral bands (Nguyen et al, 1991;Haberhauer and Gerzabek, 1999;Baes and Bloom, 1989;Janik et al, 2007).…”
mentioning
confidence: 99%
“…Fourier-transformed MidIR spectroscopy is a quick and nondestructive technology that has been used to calibrate for SOC in diverse sets of samples (McCarty and Reeves, 2000;Reeves et al, 2001;McCarty et al, 2002), indicating that the MidIR region contains spectral information related to a variety of soil chemical attributes. Th e MidIR region (4000-400 cm −1 ) is characterized by strong vibration fundamentals, and can be used for spectral interpretation of sample composition, because the MidIR spectra show peaks or bands that can be assigned to specifi c organic or mineral spectral bands (Nguyen et al, 1991;Haberhauer and Gerzabek, 1999;Baes and Bloom, 1989;Janik et al, 2007).…”
mentioning
confidence: 99%
“…However, it should be noted that there is little utility, for example, in using 117 samples from a single field to construct a model that can only be successfully applied to that same field 43 . A sample collected at 0-2.5 cm at one location is hardly independent of samples from the same location at 2.5-20 cm 44,45 . Demonstrating the lack of robustness for such models, NIR and MIR models calibrated using one field in Maryland performed poorly when used to predict C in another Maryland field 44,45 .…”
Section: Soil C Predictionmentioning
confidence: 97%
“…A sample collected at 0-2.5 cm at one location is hardly independent of samples from the same location at 2.5-20 cm 44,45 . Demonstrating the lack of robustness for such models, NIR and MIR models calibrated using one field in Maryland performed poorly when used to predict C in another Maryland field 44,45 . For a rolling field in Manitoba, even holding out 50% of the sample set at a time for cross-validation yielded a notably higher NIR RMSD value of 3.3 g OC kg -1 dry soil 46 .…”
Section: Soil C Predictionmentioning
confidence: 97%
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“…Infrared spectroscopy provides a complete profile of the sample's composition, but it produces highly complex spectral signs and frequently has problems of nonlinearity between concentration and absorption intensity; therefore, it does not easily allow quantitative applications (Reeves et al 2001).…”
Section: Introductionmentioning
confidence: 99%