https://doi.org/10.1080/014311697217486
Minasny, B. & McBratney. A. B. (2008) Regression rules as a tool for
predicting soil properties from infrared reflectance spectroscopy.Chemometrics and Intelligent Laboratory Systems, 94, 72–79.
https://doi.org/10.1016/j.chemolab.2008.06.003 Minasny, B., Tranter, G., McBratney, A. B., Brough, D. M. & Murphy, B.
W. (2009) Regional transferability of mid-infrared diffuse reflectance
spectroscopic prediction for soil chemical properties. Geoderma,153, 155–162.
https://doi.org/10.1016/j.geoderma.2009.07.021 Moros, J., Mart ̵́ınez-Sa ̵́nchez, M.J., Pe ̵́rez-Sirvent, C., Garrigues, S.
& de la Guardia, M. (2009). Testing of the region of Murcia soils by
near infrared diffuse reflectance spectroscopy and chemometrics.Talanta, 78, 388–398.
https://doi.org/10.1016/j.talanta.2008.11.041
Mouazen, A. M., Kuang, B., De Baerdemaeker, J. & Ramon, H. (2010).
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. Geoderma , 158 , 23-31.
https://doi.org/10.1016/j.geoderma.2010.03.001
Nawar, S., Buddenbaum, H., Hill, J. & Kozak, J. (2014). Modeling and
mapping of soil salinity with reflectance spectroscopy and landsat data
using two quantitative methods (PLSR and MARS). Remote
Sensing , 6, 10813-10834.