Prediction of Soil Organic Carbon at Field Scale by Regression Kriging and Multivariate Adaptive Regression Splines Using Geophysical Covariates

Prediction of Soil Organic Carbon at Field Scale by Regression Kriging and Multivariate Adaptive Regression Splines Using Geophysical Covariates

Knowledge of the spatial distribution of soil organic carbon (SOC) is of crucial importance for improving crop productivity and assessing the effect of agronomic management strategies on crop response and soil quality. Incorporating secondary variables correlated to SOC allows using information ofte...

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Bibliographic Details
Main Authors: Daniela De Benedetto, Emanuele Barca, Mirko Castellini, Stefano Popolizio, Giovanni Lacolla, Anna Maria Stellacci
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Land
Subjects:
SOC spatial distribution
regression kriging (RK)
multivariate adaptive regression splines (MARS)
secondary variables
electromagnetic induction technique (EMI)
ground-penetrating radar (GPR)
Online Access:https://www.mdpi.com/2073-445X/11/3/381

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https://www.mdpi.com/2073-445X/11/3/381

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