A recent study by Illarionova et al. shows how integrating geo-spatial data and remote sensing with machine learning models like XGBoost and ConvLSTM can forecast wildfire risks over a five-day period. The research offers clear use cases for proactive emergency management and enhances our understanding of environmental dynamics.