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Leveraging soil spectral libraries for property prediction: global versus local mid-infrared models and the determinants of predictability
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DOI：10.1016/j.geoderma.2026.117950.png)
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Abstract
En 中文
• Global and local models were compared for predicting soil property from MIR spectra. • Global nonlinear models achieved the highest accuracy and transferability. • Stratification mainly benefited linear models like PLSR. • Model choice reflects interactions of algorithm, sample size, and data distribution. • A practical framework for selecting calibration scope and model class was proposed.
Keywords:
Soil spectral library
Soil property prediction
Calibration strategies
Linear and nonlinear models
Model transferability
Mid-infrared spectroscopy
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