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.
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.
the Creative Commons Attribution 4.0 License.
Soil environment grouping system based on spectral, climate, and terrain data: a quantitative branch of soil series
Andre Carnieletto Dotto
Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
Jose A. M. Demattê
CORRESPONDING AUTHOR
Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
Raphael A. Viscarra Rossel
School of Molecular and Life Sciences, Curtin University, Perth, WA 6102, Australia
Rodnei Rizzo
Department of Soil Science, Luiz de Queiroz College of Agriculture, University of São Paulo, Piracicaba, SP, 13418-900, Brazil
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- Proximal sensing approach for soil characterization and discrimination: a case of study in Brazil A. Gómez et al. 10.1080/10106049.2022.2102228
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Latest update: 05 Nov 2025
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.
The objective of this study was to develop a soil grouping system based on spectral, climate,...