Hitouri, S.; Varasano, A.; Mohajane, M.; Ijlil, S.; Essahlaoui, N.; Ali, S.A.; Essahlaoui, A.; Pham, Q.B.; Waleed, M.; Palateerdham, S.K.;
et al. Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale. ISPRS Int. J. Geo-Inf. 2022, 11, 401.
https://doi.org/10.3390/ijgi11070401
AMA Style
Hitouri S, Varasano A, Mohajane M, Ijlil S, Essahlaoui N, Ali SA, Essahlaoui A, Pham QB, Waleed M, Palateerdham SK,
et al. Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale. ISPRS International Journal of Geo-Information. 2022; 11(7):401.
https://doi.org/10.3390/ijgi11070401
Chicago/Turabian Style
Hitouri, Sliman, Antonietta Varasano, Meriame Mohajane, Safae Ijlil, Narjisse Essahlaoui, Sk Ajim Ali, Ali Essahlaoui, Quoc Bao Pham, Mirza Waleed, Sasi Kiran Palateerdham,
and et al. 2022. "Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale" ISPRS International Journal of Geo-Information 11, no. 7: 401.
https://doi.org/10.3390/ijgi11070401
APA Style
Hitouri, S., Varasano, A., Mohajane, M., Ijlil, S., Essahlaoui, N., Ali, S. A., Essahlaoui, A., Pham, Q. B., Waleed, M., Palateerdham, S. K., & Teodoro, A. C.
(2022). Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale. ISPRS International Journal of Geo-Information, 11(7), 401.
https://doi.org/10.3390/ijgi11070401