armenia-reforestation-predictive-framework

Summary

A predictive machine learning framework for assessing forest vulnerability to climate change in Armenia. It integrates high-resolution satellite data (Sentinel-2) with future climate projections (CMIP6) to model forest structural response (canopy height heterogeneity) to climatic stressors like VPD, temperature, and precipitation. The project includes a Random Forest model, SHAP analysis, and a Streamlit web application for visualization.