Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco
Sliman Hitouri(Université Ibn-Tofail), Antonietta Varasano(Construction Technologies Institute), Meriam Lahsaini(Institute of Geosciences and Earth Resources), Tadesual Asamin Setargie(Research Institute for Geo-Hydrological Protection), Sk Ajim Ali(Aligarh Muslim University), Suraj Kumar Singh(Gyan Vihar University), Gaurav Tripathi(Gyan Vihar University), Meriame Mohajane(University of Basilicata), Paola D’Antonio(University of Basilicata)
Cited by 66
Related Papers
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
|ISPRS International Journal of Geo-Information|2022|46
Assessment and Prediction of the Water Quality Index for the Groundwater of the Ghiss-Nekkor (Al Hoceima, Northeastern Morocco)
|Sustainability|2022|42
Flood vulnerability and buildings’ flood exposure assessment in a densely urbanised city: comparative analysis of three scenarios using a neural network approach
|Natural Hazards|2022|39
Gully erosion mapping susceptibility in a Mediterranean environment: A hybrid decision-making model
|International Soil and Water Conservation Research|2023|28