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论无所不在的时空智能

  • role： First author第一作者
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

  • Email：drli@whu.edu.cn
  • Introduction：李德仁，研究方向为摄影测量与遥感、地理信息系统理论和应用。E-mail： drli@whu.edu.cn
LI Deren1,  
  • role： Corresponding author通信作者
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

    Hubei Luojia Laboratory, Wuhan 430079, China

  • Email：wangmi@whu.edu.cn
  • Introduction：王密，研究方向为摄影测量与遥感、遥感卫星影像高精度处理。E-mail： wangmi@whu.edu.cn
WANG Mi12*,  
  • Affiliation：

    School of Artificial Intelligence, Wuhan University, Wuhan 430072, China

XIAO Jing3,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

    Institute for Theoretical Physics, ETH Zurich, Zurich 8039, Switzerland

    Institute of Geodesy and Photogrammetry, ETH Zurich, Zurich 8039, Switzerland

LI Ming145,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

DI Kaichang6,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

LI Xi1,  
  • Affiliation：

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China

LUO Bin1

Resümee

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.

Schlüsselwort

STI;AI;photogrammetry and remote sensing;interdisciplinary field

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