armenia-reforestation-predictive-framework
Narek-Ohanyan/armenia-reforestation-predictive-framework
geospatial-analysismachine-learningforestryclimate-changeenvironmental-scienceremote-sensingrandom-forestarmenia
Summary
A predictive machine learning framework for assessing forest vulnerability to climate change in Armenia. It integrates geospatial data (Sentinel-2, CHELSA climate, Hansen forest change) to model canopy structural loss using a Random Forest regressor. Includes a Streamlit web app for visualization and a Jupyter Notebook pipeline for model development.