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