Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library

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Prediction of soil organic matter using a spatially constrained local partial least squares regression and the Chinese vis-NIR spectral library

We need to determine the best use of soil vis-NIR spectral libraries that are being developed at regional, national and global scales to predict soil properties from new spectral readings. To reduce the complexity of a calibration dataset derived from the Chinese vis-NIR soil spectral library (CSSL)...

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Bibliographic Details
Main Authors:	Shi, Z., Ji, W., Viscarra Rossel, Raphael, Chen, S., Zhou, Y.
Format:	Journal Article
Published:	Blackwell Publishing Ltd 2015
Online Access:	http://hdl.handle.net/20.500.11937/73883

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