Ramoelo, A., Skidmore, A., Cho, M., Mathieu, R., Heitkönig, I., Dudeni-Tlhone, N., . . . Prins, H. (2013). Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data. ISPRS journal of photogrammetry and remote sensing, 82, 27-40. https://doi.org/10.1016/j.isprsjprs.2013.04.012
Chicago-Zitierstil (17. Ausg.)Ramoelo, A., A.K Skidmore, M.A Cho, R. Mathieu, I.M.A Heitkönig, N. Dudeni-Tlhone, M. Schlerf, und H.H.T Prins. "Non-linear Partial Least Square Regression Increases the Estimation Accuracy of Grass Nitrogen and Phosphorus Using in Situ Hyperspectral and Environmental Data." ISPRS Journal of Photogrammetry and Remote Sensing 82 (2013): 27-40. https://doi.org/10.1016/j.isprsjprs.2013.04.012.
MLA-Zitierstil (9. Ausg.)Ramoelo, A., et al. "Non-linear Partial Least Square Regression Increases the Estimation Accuracy of Grass Nitrogen and Phosphorus Using in Situ Hyperspectral and Environmental Data." ISPRS Journal of Photogrammetry and Remote Sensing, vol. 82, 2013, pp. 27-40, https://doi.org/10.1016/j.isprsjprs.2013.04.012.