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土壤有机质含量高光谱预测模型及其差异性研究.[D].周清.浙江大学.2004, 04
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Predicting soil properties from the Australian soil visible–near infrared spectroscopic database.[J].R. A. Viscarra Rossel;R. Webster.European Journal of Soil Science.2012, 6
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A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem.[J].Anita Bayer;Martin Bachmann;Andreas Müller;Hermann Kaufmann;Eyal Ben-Dor.<journal-title>Applied and Environmental Soil Science.2012,
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Predictions of soil surface and topsoil organic carbon content through the use of laboratory and field spectroscopy in the Albany Thicket Biome of Eastern Cape Province of South Africa.[J].Marco Nocita;Lammert Kooistra;Martin Bachmann;Andreas Müller;Mike Powell;Silvia Weel.Geoderma.2011,
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Comparison among principal component; partial least squares and back propagation neural network analyses for accuracy of measurement of selected soil properties with visible and near infrared spectroscopy.[J].A.M. Mouazen;B. Kuang;J. De Baerdemaeker;H. Ramon.Geoderma.2010, 1
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Visible near-infrared reflectance spectroscopy as a predictive indicator of soil properties.[J].D. Summers;M. Lewis;B. Ostendorf;D. Chittleborough.Ecological Indicators.2009,
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Visible; near infrared; mid infrared or combined diffuse reflectance spectroscopy for simultaneous assessment of various soil properties.[J].R.A. Viscarra Rossel;D.J.J. Walvoort;A.B. McBratney;L.J. Janik;J.O. Skjemstad.Geoderma.2005, 1