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Nelvinebi/Coastal-Flood-Early-Warning-System-for-the-Niger-Delta

Domain:

climategeospatial

Record type:

project
Creator:
Nel
Host:
An AI-driven coastal flood early warning system for the Niger Delta using realistic synthetic remote sensing and meteorological data, designed to classify flood risk levels and support disaster preparedness, climate resilience, and geospatial decision-making in data-limited coastal regions. Coastal Flood Early Warning System for the Niger Delta Using AI and Remote Sensing 📌 Project Overview This project develops a Coastal Flood Early Warning System (CFEWS) for the Niger Delta using synthetic remote sensing and meteorological data combined with machine learning models. The system predicts flood alert levels to support disaster preparedness and coastal resilience. 🎯 Objectives Simulate coastal flood drivers using realistic synthetic data Train AI models to classify flood risk levels Support early warning, planning, and decision-making Demonstrate an end-to-end AI + Remote Sensing workflow 🛰️ Data Description The dataset is synthetically generated to resemble Niger Delta coastal conditions and includes: Feature Description rainfall_mm Daily accumulated rainfall sea_surface_height_cm Satellite-derived sea level storm_surge_cm Coastal storm surge height wind_speed_ms Near-surface wind speed tidal_level_cm Astronomical tidal level soil_moisture_index Normalized soil moisture flood_alert_level 0 = Low, 1 = Moderate, 2 = High 📁 Dataset format: Excel (.xlsx) 🧠 Methodology Summary Synthetic coastal and climate data generation Feature normalization and risk scoring Flood alert classification using ML Model evaluation using classification metrics (Full methodology provided below) ⚙️ Machine Learning Model Algorithm: Random Forest Classifier Problem type: Multiclass classification Output: Flood alert levels (Low / Moderate / High) 📊 Evaluation Metrics Accuracy Precision, Recall, F1-Score Confusion Matrix 🗺️ Applications Coastal flood early warning systems Climate risk assessment Disaster management planning Environmental AI research 🚀 How to Run pip install numpy pandas scikit-learn matplotlib python coastal_flood_early_warning_niger_delta.py 📌 Disclaimer This project uses synthetic data for research, educational, and demonstration purposes and does not represent operational flood forecasts. 📜 License MIT License ✍️ Author AGBOZU …

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