Bouramtane, T.; Hilal, H.; Rezende-Filho, A.T.; Bouramtane, K.; Barbiero, L.; Abraham, S.; Valles, V.; Kacimi, I.; Sanhaji, H.; Torres-Rondon, L.;
et al. Mapping Gully Erosion Variability and Susceptibility Using Remote Sensing, Multivariate Statistical Analysis, and Machine Learning in South Mato Grosso, Brazil. Geosciences 2022, 12, 235.
https://doi.org/10.3390/geosciences12060235
AMA Style
Bouramtane T, Hilal H, Rezende-Filho AT, Bouramtane K, Barbiero L, Abraham S, Valles V, Kacimi I, Sanhaji H, Torres-Rondon L,
et al. Mapping Gully Erosion Variability and Susceptibility Using Remote Sensing, Multivariate Statistical Analysis, and Machine Learning in South Mato Grosso, Brazil. Geosciences. 2022; 12(6):235.
https://doi.org/10.3390/geosciences12060235
Chicago/Turabian Style
Bouramtane, Tarik, Halima Hilal, Ary Tavares Rezende-Filho, Khalil Bouramtane, Laurent Barbiero, Shiny Abraham, Vincent Valles, Ilias Kacimi, Hajar Sanhaji, Laura Torres-Rondon,
and et al. 2022. "Mapping Gully Erosion Variability and Susceptibility Using Remote Sensing, Multivariate Statistical Analysis, and Machine Learning in South Mato Grosso, Brazil" Geosciences 12, no. 6: 235.
https://doi.org/10.3390/geosciences12060235
APA Style
Bouramtane, T., Hilal, H., Rezende-Filho, A. T., Bouramtane, K., Barbiero, L., Abraham, S., Valles, V., Kacimi, I., Sanhaji, H., Torres-Rondon, L., de Castro, D. D., Vieira Santos, J. d. C., Ouardi, J., Beqqali, O. E., Kassou, N., & Morarech, M.
(2022). Mapping Gully Erosion Variability and Susceptibility Using Remote Sensing, Multivariate Statistical Analysis, and Machine Learning in South Mato Grosso, Brazil. Geosciences, 12(6), 235.
https://doi.org/10.3390/geosciences12060235
