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)...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Blackwell Publishing Ltd
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/73883 |