Proximal sensing approach for characterization of calcareous soils using multiblock data analysis

• Published in: Geoderma Regional Vol. 36; p. e00752
• Main Authors: Karami, Ali, Moosavi, Ali Akbar, Pourghasemi, Hamid Reza, Ronaghi, Abdolmajid, Ghasemi-Fasaei, Reza, Vidal, Eva, Lado, Marcos
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.03.2024
• Subjects: calcium; carbonates; clay; clay fraction; copper; electrical conductivity; Iran; iron; manganese; Mid-infrared (MIR) spectra; nickel; Partial least square regression (PLSR); prediction; Response-oriented sequential alternation (ROSA); sand; Sequential orthogonalized partial least squares (SO-PLS); soil analysis; soil organic matter; Soil spectroscopy; Visible-near infrared (VNIR) spectra; watersheds; zinc; Iran; Partial least square regression (PLSR); Soil spectroscopy; Sequential orthogonalized partial least squares (SO-PLS); Visible-near infrared (VNIR) spectra; Mid-infrared (MIR) spectra; Response-oriented sequential alternation (ROSA)

Application of visible-near infrared (VNIR) or mid-infrared (MIR) proximal sensing for prediction of soil attributes has proven successful in many cases and is currently extensively used. However, in some cases, predictions fail, especially for properties that do not have a strong spectral signature...