A global spectral library to characterize the world's soil

Published 2016 View Full Article

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Title
A global spectral library to characterize the world's soil
Authors
Keywords
Soil spectral library, Global soil dataset, Soil vis–NIR spectra, Vis–NIR spectroscopy, Multivariate statistics, Machine learning, Wavelets
Journal
EARTH-SCIENCE REVIEWS
Volume 155, Issue -, Pages 198-230
Publisher
Elsevier BV
Online
2016-02-07
DOI
10.1016/j.earscirev.2016.01.012

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