Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter

Construction of the Calibration Set through Multivariate Analysis in Visible and Near-Infrared Prediction Model for Estimating Soil Organic Matter

The visible and near-infrared (VNIR) spectroscopy prediction model is an effective tool for the prediction of soil organic matter (SOM) content. The predictive accuracy of the VNIR model is highly dependent on the selection of the calibration set. However, conventional methods for selecting the cali...

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Bibliographic Details
Main Authors: Xiaomi Wang, Yiyun Chen, Long Guo, Leilei Liu
Format: Article
Language:English
Published: MDPI AG 2017-02-01
Series:Remote Sensing
Subjects:
soil organic matter
spectrum representation
environment representation
partial least squares regression
spatial clustering
association rules
Online Access:http://www.mdpi.com/2072-4292/9/3/201

Internet

http://www.mdpi.com/2072-4292/9/3/201

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