Simulated in situ characterization of soil organic and inorganic carbon with visible near-infrared diffuse reflectance spectroscopy

Geoderma ◽  
2009 ◽  
Vol 151 (3-4) ◽  
pp. 249-256 ◽  
Author(s):  
Cristine L.S. Morgan ◽  
Travis H. Waiser ◽  
David J. Brown ◽  
C. Tom Hallmark
Heritage ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 2255-2261 ◽  
Author(s):  
Yivlialin ◽  
Galli ◽  
Raimondo ◽  
Martini ◽  
Sassella

Reflectance spectroscopy in the ultraviolet (UV), visible (Vis), and near infrared (NIR) range is widely applied to art studies for the characterization of paints and pigments, with the advantages of non-invasive techniques. Isolating and detecting the fingerprint of pigments, especially in the NIR range, is quite challenging, since the presence of vibrational transitions of the most common organic functional groups prevents to relate the optical spectrum of a composite sample, as an artwork is, to each one of its elements (i.e., support, binder, and specific pigment). In this work, a method is presented to obtain the UV-Vis-NIR optical response of the single components of a model composite sample reproducing an artwork, i.e., the support, the binder, and the pigment or dye, by using diffuse reflectance spectroscopy. This allowed us to obtain the NIR spectral fingerprint of blue pigments and to identify specific features possibly applicable for detecting cobalt and phthalocyanine blue colors in artwork analysis.


2014 ◽  
Vol 32 (1) ◽  
pp. 86-94 ◽  
Author(s):  
Jesús H. Camacho-Tamayo ◽  
Yolanda Rubiano S. ◽  
María del Pilar Hurtado S.

The characterization of soil properties through laboratory analysis is an essential part of the diagnosis of the potential use of lands and their fertility. Conventional chemical analyzes are expensive and time consuming, hampering the adoption of crop management technologies, such as precision agriculture. The aim of the present paper was to evaluate the potential of near-infrared (NIR) diffuse reflectance spectroscopy for the prediction of the carbon and nitrogen of Typic Hapludox. In the A and B horizons, 1,240 samples were collected in order to determine the total carbon (TC) and nitrogen (TN) contents, obtain the NIR spectral curve, and build models using partial least squares regression. The use of diffuse reflectance spectroscopy and statistical techniques allowed for the quantification of the TC with adequate models of prediction based on a small number of samples, an residual prediction deviation RPD greater than 2.0, an R2 greater than 0.80 and a low root mean square error RMSE. For TN, models with a good level of prediction were not obtained. The results based on the NIR models were able to be integrated directly into the geostatistical evaluations, obtaining similar digital maps from the observed and predicted TC. The use of pedometric techniques showed promising results for these soils and constitutes a basis for the development of this area of research on soil science in Colombia.


2008 ◽  
Vol 624 (1) ◽  
pp. 113-127 ◽  
Author(s):  
Javier Moros ◽  
María C. Barciela-Alonso ◽  
Paula Pazos-Capeáns ◽  
Pilar Bermejo-Barrera ◽  
Elena Peña-Vázquez ◽  
...  

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