A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil

A Regional Legacy Soil Dataset for Prediction of Sand and Clay Content with Vis-Nir-Swir, in Southern Brazil

ABSTRACT The success of soil prediction by VIS-NIR-SWIR spectroscopy has led to considerable investment in large soil spectral libraries. The aims of this study were 1) to develop a soil VIS-NIR-SWIR spectroscopy approach using legacy soil samples to improve spectral soil information in a regional s...

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Bibliographic Details
Main Authors: Elisângela Benedet Silva, Élvio Giasson, André Carnieletto Dotto, Alexandre ten Caten, José Alexandre Melo Demattê, Ivan Luiz Zilli Bacic, Milton da Veiga
Format: Article
Language:English
Published: Sociedade Brasileira de Ciência do Solo
Series:Revista Brasileira de Ciência do Solo
Subjects:
soil spectral library
multivariate models
preprocessing techniques
Santa Catarina
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100304&lng=en&tlng=en

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http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100304&lng=en&tlng=en

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