Disaster analysis for Australian remote regions using artificial intelligence and data-driven modelling

In response to escalating global crises, including climate extremes, and natural disasters, integrated emergency management systems have become crucial worldwide. Wildfires, particularly in remote areas, present significant challenges with increasing frequency and impact. The devastating 2019–20 Australian bushfires illustrate this trend, highlighting the need for accurate wildfire behavior prediction to guide management decisions and mitigate adverse effects. This PhD thesis focuses on AI-driven wildfire disaster analysis in Australian remote regions, emphasizing three key research questions: addressing data scarcity, enhancing prediction accuracy, and identifying critical disaster factors.