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    • Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and Post-Disaster Process

    • “In response to the demand for crop lodging monitoring, experts propose the StandardCurve iForest RF method, which uses Sentinel-2 data to construct growth standard curves and combines spatiotemporal judgment mechanisms to achieve automated and accurate identification of lodging events, providing technical support for agricultural disaster monitoring.”
      • role：First author第一作者
      • Affiliation：

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

        Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China

      • Email：guorui462@gmail.com
      • Introduction：郭锐，研究方向为农业遥感应用。E-mail： guorui462@gmail.com

      GUO Rui

      12,
      • Affiliation：

        Bureau of Hydrology and Water Resources, Kunming 650106, China.

      FU Ben

      3,
      • role：Corresponding author通信作者
      • Affiliation：

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

        Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China

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

      • Email：zhuxiufang@bnu.edu.cn
      • Introduction：朱秀芳，主要从事遥感应用研究。E-mail：zhuxiufang@bnu.edu.cn

      ZHU Xiufang

      124 * ,
      • Affiliation：

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

        Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China

      SONG Junying

      12
    • Pages: 1-13(2026)  

    • DOI：10.11834/jrs.20265421    

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