Nelvinebi / lood-Susceptibility-Mapping-with-Morphometric-and-ML-AnalysisView on GitHub
Flood Susceptibility Mapping with Morphometric and ML Analysis uses synthetic DEM-derived morphometric features and machine learning to classify areas into low, moderate, and high flood risk. It generates datasets, trains models, and produces susceptibility maps for benchmarking geospatial flood modeling workflows without real-world data.
10Feb 17, 2026Updated 2 weeks ago

Alternatives and similar repositories for lood-Susceptibility-Mapping-with-Morphometric-and-ML-Analysis

Users that are interested in lood-Susceptibility-Mapping-with-Morphometric-and-ML-Analysis are comparing it to the libraries listed below

Sorting:

Are these results useful?