this study aims to test the possibility of employing the vis-NIR spectral information of a small portable multispectral camera for the quantitative prediction of organic carbon content in Mediterranean soils. This is done by comparing Partial Least Squared Regression (PLSR) model performances on traditional laboratory-based spectra and spectral data acquired in outdoor conditions. It also test the stability of model performances from repeated measures under different sky conditions.
Crucil, G., Quijano Gaudes, L., Navas, A., & Van Oost, K. (2019). Estimation of soil organic carbon from spectral data in a Mediterranean agricultural mountain landscape. EGU 2019, Vienne. https://hdl.handle.net/2078.5/169486