African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning
A - Papers appearing in refereed journals
Hengl, T., Miller, M. A. E., Krizan, J., Shepherd, K. D., Sila, A., Kilibarda, M., Antonijevic, O., Glusica, L., Dobermann, A., Haefele, S. M., McGrath, S. P., Acquah, G., Collinson, J., Parente, L., Sheykmousa, M., Saito, K., Johnson, J-M., Chamberlain, J., Silatsa, F. B. T., Yemefack, M., Wendt, J., MacMillan, R. A., Wheeler, I. and Crouch, J. 2021. African soil properties and nutrients mapped at 30 m spatial resolution using two-scale ensemble machine learning. Scientific Reports. 11, p. 6130. https://doi.org/10.1038/s41598-021-85639-y