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    • Design of a knowledge-structured system for remote-sensing-based early warning of surface anomalies

    • “The integrated surface anomaly remote sensing warning knowledge structured system of "data information knowledge decision" deconstructs the warning process into four progressive levels: monitoring, anomaly, warning, and decision-making, providing a solution to the problems of remote sensing monitoring response lag and semantic gap.”
      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email：202421051245@mail.bnu.edu.cn
      • Introduction：胡雨黎，研究方向为遥感应用。E-mail： 202421051245@mail.bnu.edu.cn

      HU Yuli

      12,
      • role：Corresponding author通信作者
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      • Email：caoxin@bnu.edu.cn
      • Introduction：曹鑫，研究方向为遥感应用。E-mail： caoxin@bnu.edu.cn

      CAO Xin

      12 * ,
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Beijing Normal University, Beijing 100875, China

        Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China

      CHEN Miaoying

      12,
      • Affiliation：

        College of geoinformatics, Zhejiang University of Technology, Hangzhou 310014, China

      LIN Kai

      3
    • Pages: 1-20(2026)  

    • DOI：10.11834/jrs.20266041    

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