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Discussion papers
https://doi.org/10.5194/soil-2019-77
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/soil-2019-77
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: original research article 20 Nov 2019

Submitted as: original research article | 20 Nov 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal SOIL (SOIL).

Soil classification based on spectral and environmental variables

Andre Carnieletto Dotto1, Jose A. M. Demattê1, Raphael Viscarra Rossel2, and Rodnei Rizzo1 Andre Carnieletto Dotto et al.
  • 1Department of Soil Science, College of Agriculture Luiz de Queiroz, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
  • 2School of Molecular and Life Sciences, Curtin University, Perth, WA, 6102, Australia

Abstract. Given the large volume of soil data, it is now possible to obtain a soil classification using spectral, climate and terrain attributes. The idea was to develop a soil series system, which intends to discriminate soil types according to several variables. This new system was called Soil-Environmental Classification (SEC). The spectra data was applied to obtain information about the soil and climate and terrain variables to simulate the pedologist knowledge in soil-environment interactions. The most appropriate numbers of classes were achieved by the lowest value of AIC applying the clusters analysis, which was defined with 8 classes. A relationship between the SEC and WRB-FAO classes was found. The SEC facilitated the identification of groups with similar characteristics using not only soil but environmental variables for the distinction of the classes. Finally, the conceptual characteristics of the 8 SEC were described. The development of SEC conducted to incorporate applicable soil data for agricultural management, with less interference of personal/subjective/empirical knowledge (such as traditional taxonomic systems), and more reliable on automation measurements by sensors.

Andre Carnieletto Dotto et al.
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Andre Carnieletto Dotto et al.
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Short summary
We developed a soil classification system (Soil-Environmental Classification) to discriminate soil types using spectra data, climate and terrain variables. The outcome showed that 8 classes can represent the variances of soil types. This new soil classification demands less interference of laboratory analysis and less subjective data. This study can bring benefits to the development of a universal soil system, in which soil spectra, climate and terrain data should be used.
We developed a soil classification system (Soil-Environmental Classification) to discriminate...
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