A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem
Regression coefficients of PLS models for the prediction of soil organic carbon (a) and iron oxides (b) built upon bare soil field spectra in HyMap’s spectral resolution of 116 bands. Shape and range of spectral regression coefficients are related to the selected data pretreatment method (A: + first derivative, B: Mean center).
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