Understanding drought propagation is vital for disaster preparedness and risk management. This study presents a comprehensive analysis of various drought conditions across global land areas. Interpretable machine learning technique is employed to identify the key factors influencing drought propagation. Results reveal large-scale propagation pathways of meteorological-runoff-agricultural droughts, and highlight how climatic characteristics affect these dynamics.