This project demonstrates an AI-driven workflow for synthetic carbon sequestration potential mapping. It generates geospatial eco-variables, builds a Random Forest model, evaluates performance, interprets feature importances, and produces prediction maps—designed for teaching, research, and demonstration, not real-world policy or operational use…
☆39Sep 23, 2025Updated last year
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