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    • Retrieval of crop leaf area index by coupling red-edge band features

    • “The leaf area index (LAI) is a key parameter that characterizes the canopy structure and growth of crops. The research team has developed a crop LAI inversion algorithm that couples red edge band features, verifying that the red edge band can effectively improve inversion accuracy and provide technical support for precise monitoring of large-scale crop growth.”
      • role:First author第一作者
      • Affiliation:

        Huazhong Agricultural University, College of Resources and Environment, Digital Agriculture Research Institute, Wuhan 430070, China

      • Email:xubaodong@mail.hzau.edu.cn
      • Introduction:徐保东,研究方向为农业遥感。E-mail: xubaodong@mail.hzau.edu.cn

      XU Baodong

      1,
      • Affiliation:

        Huazhong Agricultural University, College of Resources and Environment, Digital Agriculture Research Institute, Wuhan 430070, China

      SONG Zhubeijia

      1,
      • Affiliation:

        Huazhong Agricultural University, College of Resources and Environment, Digital Agriculture Research Institute, Wuhan 430070, China

      WU Tongzhou

      1,
      • Affiliation:

        Huazhong Agricultural University, College of Resources and Environment, Digital Agriculture Research Institute, Wuhan 430070, China

      MENG Ke

      1,
      • Affiliation:

        Huazhong Agricultural University, College of Resources and Environment, Digital Agriculture Research Institute, Wuhan 430070, China

      WANG Qi

      1,
      • Affiliation:

        Huazhong Agricultural University, Plant Science and Technology, Wuhan 430070, China

      WEI Haodong

      2,
      • Affiliation:

        Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu 610031, China

      YIN Gaofei

      3
    • Vol. 30, Issue 5, Pages: 1374-1391(2026)  
    • DOI:10.11834/jrs.20265383    

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