Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration – The case of soil inorganic carbon prediction by mid-infrared spectroscopy-Reference-Cited by-同舟云学术

Improvement in spectral library-based quantification of soil properties using representative spiking and local calibration – The case of soil inorganic carbon prediction by mid-infrared spectroscopy

Published:2020-06 Issue: Volume:369 Page:114272
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Barthès Bernard G.,Kouakoua Ernest,Coll Patrice,Clairotte Michaël,Moulin Patricia,Saby Nicolas P.A.,Le Cadre Edith,Etayo Amandine,Chevallier Tiphaine

Funder

Agence de l'Environnement et de la Maîtrise de l'Energie

Publisher

Elsevier BV

Subject

Soil Science

Reference56 articles.

1. Methods assessment for organic and inorganic carbon quantification in calcareous soils of the Mediterranean region;Apesteguia;Geoderma Regional,2018

2. A new initiative in France: a multi-institutional soil quality monitoring network;Arrouays;Compt. Rendus Acad. Agric. France,2002

3. Large trends in French topsoil characteristics are revealed by spatially constrained multivariate analysis;Arrouays;Geoderma,2011

4. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra;Barnes;Appl. Spectrosc.,1989

5. Studying the physical protection of soil carbon with quantitative infrared spectroscopy;Barthès;J. Near Infrared Spectrosc.,2016

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