The evolving landscape of geospatial science is marked by a fundamental shift-from static spatial sensing to dynamic spatial intelligence.This transformation is driven not only by advances in data acquisition and comp...The evolving landscape of geospatial science is marked by a fundamental shift-from static spatial sensing to dynamic spatial intelligence.This transformation is driven not only by advances in data acquisition and computation but also by the growing demand for intelligent systems that automate perception,support decision-making,and adapt across diverse environments.Three recent studies published in Revue Internationale de Géomatique offer valuable insights into this trajectory,highlighting how methodological innovation in remote sensing(RS)and geographic information system(GIS)is laying the foundation for the next generation of smart geospatial applications.展开更多
文摘The evolving landscape of geospatial science is marked by a fundamental shift-from static spatial sensing to dynamic spatial intelligence.This transformation is driven not only by advances in data acquisition and computation but also by the growing demand for intelligent systems that automate perception,support decision-making,and adapt across diverse environments.Three recent studies published in Revue Internationale de Géomatique offer valuable insights into this trajectory,highlighting how methodological innovation in remote sensing(RS)and geographic information system(GIS)is laying the foundation for the next generation of smart geospatial applications.
