Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation

Advancing digital soil mapping with multi-year crop cover data: Impacts on model accuracy and soil interpretation

Vegetation cover has a significant influence on soil properties and is commonly used as a covariate in digital soil mapping (DSM). Crop frequency (CrFr) covariates, representing the frequency with which a certain crop or class of crops are grown over multiple years, can be derived from multi-year ve...

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Bibliographic Details
Main Authors: Babak Kasraei, Margaret G. Schmidt, Daniel D. Saurette, Chuck E. Bulmer, Jin Zhang, Travis Pennell, Kingsley John, Brandon Heung
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Geoderma
Subjects:
Digital soil mapping
Crop frequency
Variance inflation factor
Recursive feature elimination
Partial dependence plots
Quantile regression post-processing
Online Access:http://www.sciencedirect.com/science/article/pii/S0016706125003222
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