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Estimating soil organic carbon using field VNIR-SWIR spectroscopy and existing soil spectral libraries: Mitigating heterogeneity, roughness and moisture effects

F. Castaldi et al.
HAL (France) · Papers
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machine-learningsocsoil
VNIR-SWIR spectra acquired in the field are inherently affected by uncontrolled conditions, such as variable illumination, surface roughness, and soil moisture. As a result, models trained on soil spectral libraries (SSLs), typically composed of dry, sieved samples analyzed in the lab, often
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