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    • Winter wheat yield prediction using the CBA-WOFOST model with remote-sensing-based biomass assimilation

    • “With the increasingly severe global food security situation, the adverse effects of extreme environmental changes on agricultural production continue to intensify. Achieving accurate prediction of crop yield at the regional scale has become a key issue in agricultural remote sensing and crop model research. The research team has constructed the CBA-WOFOST aboveground biomass assimilation framework, which combines remote sensing estimation with crop models, providing new ideas for accurate prediction of winter wheat yield.”
      • role：First author第一作者
      • Affiliation：

        College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

      • Email：chuanshuowang@sdust.edu.cn
      • Introduction：王传烁，研究方向为农业遥感与作物生长模型。E-mail： chuanshuowang@sdust.edu.cn

      WANG Chuanshuo

      1,
      • Affiliation：

        College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

      ZHANG Zitai

      1,
      • Affiliation：

        College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

      XU Xiaobin

      1,
      • Affiliation：

        School of Artificial Intelligence, Anhui Agricultural University, Hefei 230036, China

      GAO Jun

      4,
      • Affiliation：

        Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture and Rural Affairs, Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

      MENG Yang

      2,
      • Affiliation：

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      WANG Kun

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

        College of Geodesy and Geomatics, Shandong University of Science and Technology, Qingdao 266590, China

      • Email：lizh323@126.com
      • Introduction：李振海，研究方向为农业遥感。E-mail：lizh323@126.com

      LI Zhenhai

      1 *
    • Vol. 30, Issue 10, Pages: 3049-3063(2026)  

    • DOI：10.11834/jrs.20266008    

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