Predictive soil parent material mapping at a regional-scale: A Random Forest approach

In this study, we evaluate the application of a Random Forest (RF) classifier as a tool for understanding and predicting the complex hierarchical relationships between soil parent material and topography using a digital elevation model (DEM) and conventional soil survey maps. Single-component soil p...

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Veröffentlicht in:	Geoderma 2014-02, Vol.214-215, p.141-154
Hauptverfasser:	Heung, Brandon, Bulmer, Chuck E., Schmidt, Margaret G.
Format:	Artikel
Sprache:	eng
Schlagworte:	Agronomy. Soil science and plant productions Biological and medical sciences Digital soil mapping Discrete element method Earth sciences Earth, ocean, space Environmental correlation Exact sciences and technology Fundamental and applied biological sciences. Psychology Knowledge discovery Machine learning Mathematical models Parents Polygons Radio frequencies Random forest Soil (material) Soil parent material Soils Surficial geology Training
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