Francos, Nicolas; Heller-Pearlshtien, Daniela; Demattê, José A. M.; Van Wesemael, Bas; Milewski, Robert; Chabrillat, Sabine; Tziolas, Nikolaos; Sanz Diaz, Adrian; Yagüe Ballester, María Julia; Gholizadeh, Asa; Ben-Dor, Eyal
(New York, NY [u.a.] : Hindawi Publ. Corp., 2023)
Soil spectral libraries (SSLs) are important big-data archives (spectra associated with soil properties) that are analyzed via machine-learning algorithms to estimate soil attributes. Since different spectral measurement ...