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Soil Organic Carbon Assessment at High Vertical Resolution using Closed‐Tube Sampling and Vis‐NIR Spectroscopy
Author(s) -
Doetterl Sebastian,
Stevens Antoine,
Van Oost Kristof,
Wesemael Bas
Publication year - 2013
Publication title -
soil science society of america journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.836
H-Index - 168
eISSN - 1435-0661
pISSN - 0361-5995
DOI - 10.2136/sssaj2012.0410n
Subject(s) - soil carbon , soil science , environmental science , soil test , sampling (signal processing) , resolution (logic) , total organic carbon , soil water , diffuse reflectance infrared fourier transform , remote sensing , carbon fibers , image resolution , geology , materials science , chemistry , environmental chemistry , computer science , biochemistry , filter (signal processing) , photocatalysis , artificial intelligence , computer vision , catalysis , composite number , composite material
We provide an alternative to standard soil organic carbon (SOC) measurement methods combining percussion drilling with visible and near‐infrared (Vis‐NIR) reflectance spectroscopic analyses at a very high depth resolution on intact soil cores (151 soil profiles; 3‐cm vertical resolution). Using a small but representative subset of the soil cores that we analyzed for SOC content with dry combustion, we developed chemometric models to predict SOC content for the entire dataset. We show that our approach allows for accurate and repeatable measurements of SOC. It provides detailed SOC information at ∼83% lower costs and reduces labor time by ∼85% compared with a traditional approach at the same vertical resolution. The accuracy of spectroscopic predictions is comparable with standard soil analysis techniques, and hence our approach can represent an operational alternative to reference methods of SOC analysis. However, the method is limited to soils with a low gravel content (less than ∼5% gravel).