LANDSLIDE SUSCEPTIBILITY MAPPING IN THE MUNICIPALITY OF OUDKA, NORTHERN MOROCCO: A COMPARISON BETWEEN LOGISTIC REGRESSION AND ARTIFICIAL NEURAL NETWORKS MODELS

8 citations as recorded by crossref.

1. A Study of Landslide Susceptibility Assessment and Trend Prediction Using a Rule-Based Discrete Grid Model Y. Duan et al. https://doi.org/10.3390/rs16244740
2. Investigating the effects of landscape characteristics on landslide susceptibility and frequency-area distributions: the case of Taounate province, Northern Morocco R. Sahrane et al. https://doi.org/10.1080/10106049.2022.2134462
3. Landslide Susceptibility Prediction Using GIS, Analytical Hierarchy Process, and Artificial Neural Network in North-Western Tunisia M. Mersni et al. https://doi.org/10.3390/geosciences15080297
4. Assessment on Recent Landslide Susceptibility Mapping Methods: A Review W. Manan et al. https://doi.org/10.1088/1755-1315/971/1/012032
5. Common and type-specific geo-environmental controls of landslide-type variability: A multivariate analysis in the Rif Mountains, Morocco M. Hamidi et al. https://doi.org/10.1016/j.geomorph.2026.110512
6. An innovative, fast method for landslide susceptibility mapping using GIS-based LSAT toolbox A. Polat https://doi.org/10.1007/s12665-021-09511-y
7. Investigating the effects of landslides inventory completeness on susceptibility mapping and frequency-area distributions: Case of Taounate province, Northern Morocco R. Sahrane et al. https://doi.org/10.1016/j.catena.2022.106737
8. Application of geographically weighted principal component analysis and fuzzy approach for unsupervised landslide susceptibility mapping on Gish River Basin, India T. Basu et al. https://doi.org/10.1080/10106049.2020.1778105