Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series

Dotto, Andre Carnieletto; Demattê, Jose A. M.; Viscarra Rossel, Raphael A.; Rizzo, Rodnei

doi:https://doi.org/10.5194/soil-6-163-2020

Articles | Volume 6, issue 1

https://doi.org/10.5194/soil-6-163-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/soil-6-163-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 6, issue 1

Original research article

|

12 May 2020

Original research article |

| 12 May 2020

Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series

Andre Carnieletto Dotto, Jose A. M. Demattê, Raphael A. Viscarra Rossel, and Rodnei Rizzo

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Final revised paper (published on 12 May 2020)
Preprint (discussion started on 20 Nov 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Referee comments', Anonymous Referee #1, 04 Jan 2020
- AC1: 'Response to referee 1', Andre Carnieletto Dotto, 05 Feb 2020
RC2: 'Comments on manuscript "Soil classification based on spectral and environmental variables"', Anonymous Referee #2, 06 Jan 2020
- AC2: 'Response to referee 2', Andre Carnieletto Dotto, 05 Feb 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to minor revisions (review by editor) (14 Feb 2020) by Bas van Wesemael

AR by Andre Carnieletto Dotto on behalf of the Authors (14 Feb 2020) Author's response Manuscript

ED: Publish as is (30 Mar 2020) by Bas van Wesemael

ED: Publish as is (06 Apr 2020) by Kristof Van Oost (Executive editor)

AR by Andre Carnieletto Dotto on behalf of the Authors (14 Apr 2020) Manuscript

Short summary

The objective of this study was to develop a soil grouping system based on spectral, climate, and terrain variables with the aim of developing a quantitative way to classify soils. To derive the new system, we applied the above-mentioned variables using cluster analysis and defined eight groups or "soil environment groupings" (SEGs). The SEG system facilitated the identification of groups with similar characteristics using not only soil but also environmental variables for their distinction.