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tokiror/geospatial-drought-prediction

Domaine:

climateenvironment and energy

Type de record:

project
Créateur:
tok
Hôte:
This is a Machine Learning drought severity predictor using satellite data from Tanzania # ML-Based Drought Prediction **Using Satellite Data to Predict Drought Severity in Tanzania** ## Project Overview This project develops machine learning models to predict drought severity using satellite and climate data from 2000-2022. The goal is to demonstrate geospatial data analysis + Machine Learning for environmental applications. ## Data Sources - **GRACE**: Total Water Storage Anomalies (NASA) - **SPEI**: Standardized Precipitation-Evapotranspiration Index - **TerraClimate**: Temperature and Precipitation Data ## Models - Random Forest Regressor - Gradient Boosting Regressor - XGBoost Regressor ## Status 🚧 In Progress - Starting exploratory data analysis ## Author Timothy Okiror Masaba Goshen College | Engineering Physics & Computer Science ## License MIT License

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