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
Citace podle Chicago (17th ed.)Ramoelo, A., A.K Skidmore, M.A Cho, R. Mathieu, I.M.A Heitkönig, N. Dudeni-Tlhone, M. Schlerf, a 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.
Citace podle MLA (9th ed.)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.