Title: Prediction of Soil Organic Carbon at the European Scale by Visible and Near InfraRed Reflectance Spectroscopy
Authors: STEVENS AntoineNOCITA MARCOTOTH GergelyMONTANARELLA Lucavan Wesemael Bas
Citation: PLOS ONE vol. 8 no. 6
Publisher: PUBLIC LIBRARY SCIENCE
Publication Year: 2013
JRC N°: JRC80805
ISSN: 1932-6203
URI: www.plosone.org
http://publications.jrc.ec.europa.eu/repository/handle/JRC80805
DOI: 10.1371/journal.pone.0066409
Type: Articles in periodicals and books
Abstract: Soil organic carbon is a key soil property related to soil fertility, aggregate stability and the exchange of CO2 with the atmosphere. Existing soil maps and inventories can rarely be used to monitor the state and evolution in soil organic carbon content due to their poor spatial resolution, lack of consistency and high updating costs. Visible and Near Infrared diffuse reflectance spectroscopy is an alternative method to provide cheap and high-density soil data. However, there are still some uncertainties on its capacity to produce reliable predictions for areas characterized by large soil diversity. Using a large-scale EU soil survey of about 20,000 samples and covering 23 countries, we assessed the performance of reflectance spectroscopy for the prediction of soil organic carbon content. The best calibrations achieved a root mean square error ranging from 4.1 to 15 g C kg-1 for mineral soils and a root mean square error of 50 g C kg-1 for organic soil materials. Model errors are shown to be related to the levels of soil organic carbon and sand content in the samples. Although errors are ~5 times larger than the reproducibility error of the laboratory method, reflectance spectroscopy provides unbiased estimates of the soil organic carbon content that could be used for assessing the mean soil organic carbon content of large geographical entities or countries. This study is a first step towards providing uniform continental-scale spectroscopic estimations of soil organic carbon, meeting an increasing demand for information on the state of the soil that can be used in biogeochemical models and the monitoring of soil degradation.
JRC Directorate:Sustainable Resources

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