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SOIL | Articles | Volume 5, issue 2
SOIL, 5, 275–288, 2019
https://doi.org/10.5194/soil-5-275-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
SOIL, 5, 275–288, 2019
https://doi.org/10.5194/soil-5-275-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Original research article 25 Sep 2019

Original research article | 25 Sep 2019

Error propagation in spectrometric functions of soil organic carbon

Monja Ellinger et al.

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Revision (03 Jun 2019) by Nikolaus J. Kuhn
AR by Mareike Ließ on behalf of the Authors (13 Jun 2019)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (22 Jun 2019) by Nikolaus J. Kuhn
RR by Anonymous Referee #3 (15 Jul 2019)
ED: Publish subject to minor revisions (review by editor) (31 Jul 2019) by Nikolaus J. Kuhn
AR by Mareike Ließ on behalf of the Authors (09 Aug 2019)  Author's response    Manuscript
ED: Publish as is (13 Aug 2019) by Nikolaus J. Kuhn
ED: Publish as is (29 Aug 2019) by Kristof Van Oost(Executive Editor)
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Short summary
Vis–NIR spectrometry is often applied to capture soil organic carbon (SOC). This study addresses the impact of the involved data and modelling aspects on SOC precision with a focus on the propagation of input data uncertainties. It emphasizes the necessity of transparent documentation of the measurement protocol and the model building and validation procedure. Particularly, when Vis–NIR spectrometry is used for soil monitoring, the aspect of uncertainty propagation becomes essential.
Vis–NIR spectrometry is often applied to capture soil organic carbon (SOC). This study addresses...
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