Korea

Projecting Forest Fire Probability in South Korea under Climate Change, Population, and Forest Management Scenarios Using AI & Process-Based Hybrid Model (FLAM-Net) (2025)

This study aimed to integrate human domain knowledge into a machine learning framework.

Modeling Historical and Future Forest Fires in South Korea - The FLAM Optimization Approach (2023)

This study aims to optimize IIASA’s wildFire cLimate impacts and Adaptation Model (FLAM)—a processed-based model integrating biophysical and human impacts—to South Korea for projecting the pattern and scale of future forest fires.