On-line measurement of some selected soil properties using a VIS–NIR sensor

Mouazen, Abdul Mounem; Maleki, Mohammad Reza; Baerdemaeker, Josse De; Ramón, Herman

doi:10.1016/j.still.2006.03.009

Cited by 301 publications

(225 citation statements)

References 30 publications

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“…Under in-situ measurement conditions, additional challenges associated with the variation of soil-to-sensor distance affect the accuracy of the measurement [8,9]. In addition, a wide range of soil spectral measurements are being gathered around the globe, which return different results as they have been collected with different protocols, sampling techniques, sample preparation, instrument specifications, spectral acquisition and analytical algorithms, and can severely affect the prediction performance of spectroscopic models and outputs [4,10,11].…”

Section: Introductionmentioning

confidence: 99%

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

et al. 2017

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Abstract:Soil spectroscopy has shown to be a fast, cost-effective, environmentally friendly, non-destructive, reproducible and repeatable analytical technique. Soil components, as well as types of instruments, protocols, sampling methods, sample preparation, spectral acquisition techniques and analytical algorithms have a combined influence on the final performance. Therefore, it is important to characterize these differences and to introduce an effective approach in order to minimize the technical factors that alter reflectance spectra and consequent prediction. To quantify this alteration, a joint project between Czech University of Life Sciences Prague (CULS) and Tel-Aviv University (TAU) was conducted to estimate Cox, pH-H 2 O, pH-KCl and selected forms of Fe and Mn. Two different soil spectral measurement protocols and two data mining techniques were used to examine seventy-eight soil samples from five agricultural areas in different parts of the Czech Republic. Spectral measurements at both laboratories were made using different ASD spectroradiometers. The CULS protocol was based on employing a contact probe (CP) spectral measurement scheme, while the TAU protocol was carried out using a CP measurement method, accompanied with the internal soil standard (ISS) procedure. Two spectral datasets, acquired from different protocols, were both analyzed using partial least square regression (PLSR) technique as well as the PARACUDA II ® , a new data mining engine for optimizing PLSR models. The results showed that spectra based on the CULS setup (non-ISS) demonstrated significantly higher albedo intensity and reflectance values relative to the TAU setup with ISS. However, the majority of statistics using the TAU protocol was not noticeably better than the CULS spectra. The paper also highlighted that under both measurement protocols, the PARACUDA II ® engine proved to be a powerful tool for providing better results than PLSR. Such initiative is not only a way to unlock current limitations of soil spectroscopy, but also offers considerable efficiency and cost-and time-saving possibilities, which lead to further improvements in prediction performance of spectral models.

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Section: Introductionmentioning

confidence: 99%

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

et al. 2017

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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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“…A plethora of literature can be found on the use of vis-NIR spectroscopy for the rapid assessment of a wide range of soil physicochemical properties including pH, soil colour, soil texture, lime requirement, organic carbon, total carbon, total nitrogen, plant-available P, K, Mg, exchangeable Al, Ca, K, electrical conductivity Viscarra Rossel and Behrens, 2010;Viscarra Rossel et al, 2006a, b;Mouazen et al, 2006Mouazen et al, , 2007Mouazen et al, , 2009Mouazen, 2006;Maleki et al, 2006;Gomez et al, 2008a;Canasveras et al, 2010;Wetterlind et al, 2010). Other soil physicochemical properties are soil inorganic carbon, total iron, mineral composition, cation exchange capacity (Brown et al, 2006;Gomez et al, 2008b), moisture content, soil roughness, surface crust (Whiting et al, 2004;Mouazen et al, 2005;Dilawari et al, 2006), nitrogen Kjeldahl (NKj) content .…”

Section: Soil Sciencementioning

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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On-line measurement of some selected soil properties using a VIS–NIR sensor

Cited by 301 publications

References 30 publications

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

Agricultural Soil Spectral Response and Properties Assessment: Effects of Measurement Protocol and Data Mining Technique

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

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