Integrating terrestrial and orbital reflectance data improves the soil attribute modeling performance

• Published in: Geoderma Regional Vol. 41; p. e00945
• Main Authors: Novais, Jean Jesus Macedo, Rosas, Jorge Tadeu Fim, Rosin, Nícolas Augusto, Santos, Uemeson José dos, Lacerda, Marilusa Pinto Coelho, Demattê, José Alexandre Melo
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2025
• Subjects: ASTER; base saturation; Brazil; cation exchange capacity; clay; data collection; environmental management; Ferralsols; Mean equity test; Multiple linear regression; organic matter; Random forest; reflectance; regression analysis; satellites; soil analysis; Soil sensing; Brazil; Soil sensing; Random forest; Multiple linear regression; Mean equity test; ASTER

A comprehensive understanding of soil attributes is crucial for effective environmental management. Geotechnologies offer an alternative to traditional soil surveying methods. This study evaluated the potential of multispectral data from terrestrial and orbital sensors to predict soil attributes of...