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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.
    • Pages: 1-13(2026)   

      Received:15 October 2025

      Online First:13 March 2026

    • DOI: 10.11834/jrs.20265421     

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  • GUO Rui,FU Ben,ZHU Xiufang,SONG Junying. XXXX. Unsupervised Automated Remote Sensing Monitoring of Crop Lodging for the Entire Pre- and Post-Disaster Process. National Remote Sensing Bulletin, XX(XX):1-13 DOI: 10.11834/jrs.20265421.
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XIE Yifan 北京林业大学 林木资源高效生产全国重点实验室;北京林业大学 精准林业北京市重点实验室;北京林业大学 森林培育与保护教育部重点实验室
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相关机构

State Key Laboratory of Efficient Production of Forest Resources, Beijing Forestry University
Beijing Key Laboratory of Precision Forestry, College of Forestry, Beijing Forestry University
Key Laboratory of Forest Cultivation and Protection, Ministry of Education, Beijing Forestry University
Department of Geography and Spatial Information Techniques, Ningbo University
Faculty of Electrical Engineering and Computer Science, Ningbo University
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