faithruto/embobut-deforestation-prediction

Machine learning and GIS project predicting deforestation risk in Embobut Forest, Elgeyo Marakwet County, Kenya # Embobut Forest Deforestation Prediction (Elgeyo Marakwet, Kenya) ## Overview This project uses Machine Learning and GIS data to predict areas at risk of deforestation in the Embobut Forest, located in Elgeyo Marakwet County, Kenya. ## Project Workflow 1. **Data Acquisition (Google Earth Engine)** – Download layers like: - Hansen Global Forest Change (forest loss year, tree cover) - Sentinel-2 NDVI composites - SRTM elevation - Distance to roads and settlements (OSM) 2. **Preprocessing** – Convert raster data into tabular format. 3. **Model Training** – Train ML model to classify deforestation risk. 4. **Web App** – Flask + Leaflet interface to visualize and interact with predictions. ## Region of Interest (ROI) Embobut Forest (approx. 35.2°E to 35.7°E, 0.9°N to 1.4°N) ## Setup ```bash pip install -r requirements.txt python train_model.py python app.py ``` ## Author Ruto (Embobut Forest Deforestation Prediction )