Data fusion is a methodological approach and research field concerned with the integration of data and knowledge from multiple, often heterogeneous, sources to obtain a more robust, accurate, and complete understanding than afforded by individual sources. It investigates principles and techniques for synthesizing information at various levels of abstraction, aiming to reduce uncertainty, manage conflicting data, and enhance inferential capabilities for improved situational awareness and decision support systems across diverse applications.