Soil organic carbon (SOC) is a measureable component of soil organic matter, the widely used partial least squares (PLS) have limited ability in screening variables, a large amount of redundancy in soil hyperspectral data leads to the complexity and instability of the inversion model. In this study, the Eucalyptus plantation soil in subtropical red soil area of southern China was analyzed, orthogonal partial least square (OPLS) was applied to construct models, combined with recursive feature elimination (RFE) for bands screening, and the organic carbon content inversion models with full-band, ...
