Akajiaku11 / Flood-Susceptibility-Mapping-Using-Machine-Learning-and-Morphometric-AnalysisView on GitHub
This project integrates Machine Learning (ML) techniques and morphometric analysis to assess flood susceptibility across four major catchments in Bayelsa State, Nigeria. The study leverages Shuttle Radar Topographic Mission (SRTM) data to extract hydrological features and applies machine
☆51Jun 23, 2025Updated last year
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