Articles | Volume 7, issue 1
https://doi.org/10.5194/soil-7-217-2021
https://doi.org/10.5194/soil-7-217-2021
Original research article
 | Highlight paper
 | 
14 Jun 2021
Original research article | Highlight paper |  | 14 Jun 2021

SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

Laura Poggio, Luis M. de Sousa, Niels H. Batjes, Gerard B. M. Heuvelink, Bas Kempen, Eloi Ribeiro, and David Rossiter

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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Revision (22 Feb 2021) by Nicolas P.A. Saby
AR by Laura Poggio on behalf of the Authors (04 Mar 2021)  Author's response   Author's tracked changes 
ED: Referee Nomination & Report Request started (10 Mar 2021) by Nicolas P.A. Saby
RR by Dominique Arrouays (10 Mar 2021)
RR by Feng Liu (23 Mar 2021)
ED: Publish subject to minor revisions (review by editor) (25 Mar 2021) by Nicolas P.A. Saby
AR by Laura Poggio on behalf of the Authors (09 Apr 2021)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (15 Apr 2021) by Nicolas P.A. Saby
ED: Publish as is (18 Apr 2021) by Kristof Van Oost (Executive editor)
AR by Laura Poggio on behalf of the Authors (23 Apr 2021)
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Short summary
This paper focuses on the production of global maps of soil properties with quantified spatial uncertainty, as implemented in the SoilGrids version 2.0 product using DSM practices and adapting them for global digital soil mapping with legacy data. The quantitative evaluation showed metrics in line with previous studies. The qualitative evaluation showed that coarse-scale patterns are well reproduced. The spatial uncertainty at global scale highlighted the need for more soil observations.