Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies

Mapping soil drainage classes: Comparing expert knowledge and machine learning strategies

Soil drainage is an essential factor that influences plant growth and various biophysical processes, such as nutrient cycling and greenhouse gas fluxes. Therefore, soil drainage maps are fundamental tools for managing crops, forests, and the environment. This study compared two approaches to mapping...

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Bibliographic Details
Main Authors: Danilo César de Mello, Nélida E.Q. Silvero, Bradley A. Miller, Nicolas Augusto Rosin, Jorge Tadeu Fim Rosas, Bruno dos Anjos Bartsch, Gustavo Vieira Veloso, Jean Jesus Macedo Novais, Renan Falcioni, Marcos Rafael Nanni, Marcelo Rodrigo Alves, Elpídio Inácio Fernandes-Filho, Uemeson José dos Santos, José Alexandre Melo Demattê
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Soil Advances
Subjects:
Environmental covariates
Ferralsol
Predictive modeling
Remote sensing
Soil color
Online Access:http://www.sciencedirect.com/science/article/pii/S2950289624000289
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http://www.sciencedirect.com/science/article/pii/S2950289624000289

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