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    • Recent advances in assimilating remote sensing–derived parameters into crop growth models

    • Data assimilation provides key technical support for crop monitoring and yield prediction by integrating crop growth models with remote sensing observations. The research progress of data assimilation in the field of agricultural remote sensing is introduced. Experts have established an "assimilatability" evaluation framework and explored the application of multi-source remote sensing variable assimilation and machine learning algorithms, providing reference for the development of the next generation of high-precision agricultural remote sensing assimilation systems.
      • role:First author第一作者
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      • Email:duyanfei24@mails.ucas.ac.cn
      • Introduction:杜燕飞,研究方向为植被与农业遥感、遥感数据同化。E-mail:duyanfei24@mails.ucas.ac.cn

      DU Yanfei

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

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        Kashi Zhongke Aerospace Information Research Institute, Kashi 844000, China

      • Email:mengjh@aircas.ac.cn
      • Introduction:蒙继华,研究方向为农情遥感监测及精准农业遥感应用研究。E-mail: mengjh@aircas.ac.cn

      MENG Jihua

      124 * ,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      LIN Zhenxin

      123,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      HE Rongpeng

      123,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      GAO Xinyu

      123,
      • Affiliation:

        Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

        International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      NA Haoyu

      123
    • Vol. 30, Issue 9, Pages: 2580-2597(2026)  
    • DOI:10.11834/jrs.20265483    

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