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    • Knowledge expression mechanisms and methods for immediate remote sensing early warning of sudden earth surface anomalies

    • “The real-time remote sensing research on sudden surface anomalies is a cutting-edge field that leverages the rapid response capability of remote sensing technology and improves the effectiveness of large-scale disaster prediction and early warning. This article introduces its research progress in the field of remote sensing early warning. The research team has established a real-time expression system for surface anomaly early warning knowledge, explored the efficient transmission of semantic information in satellite environments, verified the feasibility hypothesis of edge deployment, and provided a solution for sudden surface anomaly remote sensing early warning.”
      • role:First author第一作者
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      • Email:211301023@njnu.edu.cn
      • Introduction:张峰极,研究方向为遥感技术与应用。E-mail: 211301023@njnu.edu.cn

      ZHANG Fengji

      123,
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      WU Yue

      123,
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      ZHANG Ling

      123,
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      CHEN Haoxuan

      123,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      • Email:longyi@njnu.edu.cn
      • Introduction:龙毅,研究方向为制图综合。E-mail: longyi@njnu.edu.cn

      LONG Yi

      123 * ,
      • Affiliation:

        Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China

        State Key Laboratory of Climate System Prediction and Risk Management, Nanjing Normal University, Nanjing 210023, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China

      ZHENG Yue

      123,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Beijing Normal University, Beijing 100875, China

      WANG Qiao

      4
    • Pages: 1-15(2026)  
    • DOI:10.11834/jrs.20266121    

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