Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy

Rossel, Raphael A. Viscarra; McGlynn, R.N.; McBratney, Alex B.

doi:10.1016/j.geoderma.2006.07.004

Cited by 417 publications

(229 citation statements)

References 26 publications

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“…The application of remote sensing techniques in soil studies began in the 1960s (Bowers & Hanks, 1965) and expanded to various applications, including quick and nondestructive quantification of soil attributes (Janik et al, 1998;Shepherd & Walsh, 2002, Dunn et al, 2002ViscarraRossel, et al, 2006a;Demattê & Nanni, 2006;Brown, et al,. 2006), soil survey and classification (Demattê et al, 2004, Ben-Dor et al, 2008, mineralogical measurements (Madeira-Netto, 1996;Viscarra-Rossel et al, 2006b;Sellito et al, 2009), digital soil mapping (Viscarra-Rossel & McBractney, 2008), precision agriculture (Thomasson et al, 2001Mouazen et al, 2007) and quantification of heavy metals (Wu Zhao et al, 2005). Thus, a basic requirement for their successful application is the creation of a spectral database, or Spectral Library (SL) (ViscarraRossel et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Soil spectral library and its use in soil classification

Bellinaso

Demattê

Romeiro

2010

Rev. Bras. Ciênc. Solo

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SUMMARYSoil science has sought to develop better techniques for the classification of soils, one of which is the use of remote sensing applications. The use of ground sensors to obtain soil spectral data has enabled the characterization of these data and the advancement of techniques for the quantification of soil attributes. In order to do this, the creation of a soil spectral library is necessary. A spectral library should be representative of the variability of the soils in a region. The objective of this study was to create a spectral library of distinct soils from several agricultural regions of Brazil. Spectral data were collected (using a

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Section: Introductionmentioning

confidence: 99%

Soil spectral library and its use in soil classification

Bellinaso

Demattê

Romeiro

2010

Rev. Bras. Ciênc. Solo

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“…However, since solid samples are known for scattering radiation in diffuse reflection thereby making it difficult to clearly discriminate among the spectra due to background noise, it becomes imperative to have the spectra pre-treated to correct for the physical scatter effects in order to make them suitable for qualitative and/or quantitative applications (Viscarra-Rossel et al (2006a) has a list of some applications). Spectral preprocessing techniques that have been applied include (but not limited to) the following: (1) averaging replicate spectra, (2) maximum normalisation, (3) fitting a weighted (inverse measurement variance) smoothing spline to each spectra with direct extraction of smoothed reflectance, (4) use of first and second derivatives of the original spectra, (5) individually combining the resulting average reflectance with the first-and second-derivatives, (6) multiplicative and extended multiplicative scatter correction, (7) Savitzky-Golay, and (8) standard normal variate Dematte et al, 2004;Viscarra-Rossel et al, 2006b;Westad et al, 2008;Yu et al, 2008;Sundaram et al, 2010;Chen et al, 2010;Kuang and Mouazen, 2011).…”

Section: Chemometrics and Nir Spectroscopymentioning

confidence: 99%

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Okparanma¹,

Araka²,

Ayotamuno³

et al. 2018

J. Civ. Eng. Constr. Technol.

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Sustainable reuse of pre-treated drill cuttings (a hazardous waste) as part substitute for fine aggregate in concrete for construction purposes is becoming increasingly attractive; however, issues remain. With recent studies focusing on the use of near-infrared spectroscopic technique for non-invasive determination of chloride concentration in concrete structures, this review examines the applicability of this new technique in the rapid determination of other equally important physicochemical characteristics of concrete produced with this hazardous waste. The nature, source, composition, ecological effects of, and management options for drill cuttings are reviewed. Furthermore, the principles of near-infrared diffuse reflectance spectroscopy are highlighted and lessons from its practical applications in soil science and petrochemical, environmental, and civil engineering are discussed. A framework for a rapid near-infrared analysis of concrete produced with pre-treated drill cuttings for enhanced sustainability as a construction material is also proposed.

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“…Figure 2b shows a few other prominent absorption peaks between 2200-2300 nm and around 2440 nm. This is due to metal-OH combination indicating vibrational stretching of H-O-H and OH -ions in secondary clay minerals (Clark 1999;Viscarra Rossel et al 2006b). These absorptions indicate the presence and the combined effect of secondary minerals such as smectite, illite and vermiculite (Viscarra Rossel et al 2006b).…”

Section: Model Performance Evaluationmentioning

confidence: 99%

“…This is due to metal-OH combination indicating vibrational stretching of H-O-H and OH -ions in secondary clay minerals (Clark 1999;Viscarra Rossel et al 2006b). These absorptions indicate the presence and the combined effect of secondary minerals such as smectite, illite and vermiculite (Viscarra Rossel et al 2006b). Table 3 shows the calibration and cross-validation results of the PLS regression models for the CaCO 3 content.…”

Section: Model Performance Evaluationmentioning

confidence: 99%

“…Furthermore, Figure 3 shows a high regression coefficient (contribution to the model) of the wavelengths between 2430 nm to 2470 nm and between 2215 nm to 2285 nm. The high values of regression coefficients of these absorptions can be related to the presence of secondary clay minerals (Clark 1999;Viscarra Rossel et al 2006b). In visible range, the most significant wavelengths were obtained between 455 and 475 nm, that can be related to the presence of the Fe oxides and organic constituents (Ben-Dor et al 1999).…”

Section: Performance Of Calibration and Validation Modelsmentioning

confidence: 99%

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Estimation of Calcium Carbonate in Anthropogenic Soils on Flysch Deposits From Dalmatia (Croatia) Using Vis-Nir Spectroscopy

Miloš¹,

Bensa²

2017

AgricultForest

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SUMMARYThis study aimed to evaluate the ability to use Vis-NIR spectroscopy to predict CaCO 3 in the soil and to determine the contribution of the spectral ranges and wavelengths to the prediction. A total of 180 topsoil samples (0-25 cm) of anthropogenic soils derived from Flysch deposits in Dalmatia (Croatia) were analyzed for CaCO 3 and scanned in the laboratory with an ASD FieldSpec spectroradiometer (350-2500 nm). The partial last square regression (PLSR) with leave-one-out cross-validation method was used for calibrating the Vis-NIR spectra and CaCO 3 measured in the laboratory. The CaCO 3 content in investigated soils varies within a very wide range from 186.0 to 894.7 g kg -1 and has a high an average value of 547.2 g kg -1 and normal -near symmetrical frequency distribution. Prediction parameters, the coefficient of determination (R 2 ), the ratio of performance to deviation (RPD) and the range error ratio (RER) were 0.86, 2.42 and 11.4, respectively indicating that created PLSR model was able to predict CaCO 3 content in soil with moderately successful accuracy. The prediction error of the CaCO 3 measured as the root mean square error of prediction (RMSEP) was 57.9 g kg -1. These results suggest that Vis-NIR spectroscopy in combination with PLSR is acceptable as a rapid method for quality control (screening) of the CaCO 3 content in investigated soils.

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Determining the composition of mineral-organic mixes using UV–vis–NIR diffuse reflectance spectroscopy

Cited by 417 publications

References 26 publications

Soil spectral library and its use in soil classification

Soil spectral library and its use in soil classification

Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review

Estimation of Calcium Carbonate in Anthropogenic Soils on Flysch Deposits From Dalmatia (Croatia) Using Vis-Nir Spectroscopy

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