The world is material, matter is in motion, and the characteristics of time and space dimensions together reveal the essence of a dynamic material world. With the rapid advancement of artificial intelligence and data acquisition technologies, the intelligent modeling and analysis of large-scale spatiotemporal data have become feasible. This progress drives deeper technological breakthroughs and scientific innovations, giving rise to a new interdisciplinary field: Spatio-Temporal Intelligence (STI). As a multidisciplinary domain, STI integrates spatiotemporal data with intelligent computational methods, opening new avenues for applications across aerospace, terrestrial, maritime, deep space, socio-economic systems, and smart healthcare. It promotes end-to-end intelligence from data collection and analysis to decision-making, thereby enhancing decision-making efficiency and resource management in critical areas. This paper first reviews the historical evolution of geoscience research, tracing its progression from geodesy, which centers on mapping and cartography, to geographic information science, emphasizing spatial information services, and finally to the emerging field of spatio-temporal intelligence. This journey highlights humanity’s continuous advancements in mapping, measuring, and understanding the physical world. With the widespread adoption of artificial intelligence, we are transitioning from static spatial data analysis to intelligent processing and real-time decision-making with dynamic spatiotemporal data. This shift reflects profound societal changes: from the industrial era focused on mechanical and logistical efficiency, to the information age characterized by digitization and connectivity, and now to the intelligence era, defined by data-driven insights and autonomous decision-making. Against this backdrop, this paper systematically explores the core concepts, research objectives, and scope of spatio-temporal intelligence. It analyzes its interdisciplinary integration with related fields, illustrates typical application scenarios, and evaluates its potential value and significance from both scientific and practical perspectives. In today’s complex and dynamic world, STI not only provides new pathways for precise knowledge discovery but also demonstrates immense potential in bridging the gap between scientific understanding and practical implementation.

STI؛ الذكاء الاصطناعي؛ القياس الإحصائي للاستشعار عن بعد والتصوير؛ التخصص التقاطعي