Chuan Xiao

Leveraging explainable artificial intelligence and satellite time-series for unravelling nonlinear environmental drivers of post-wildfire vegetation recovery

Understanding post-wildfire vegetation recovery is critical for ecological restoration under climate change. Using the severe March 2024 Yajiang forest fire in China's alpine ecosystem as a case study, we integrated time-series forecasting with interpretable machine learning, aug...