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    • Low-altitude UAV-based quantitative remote sensing of vegetation： Advances, challenges, and prospects

    • “In the fields of agriculture, forestry, ecology, and environment, new progress has been made in the research of quantitative remote sensing technology for vegetation using low altitude unmanned aerial vehicles. The technology chain and knowledge system have been systematically sorted out, providing solutions for solving the problem of precise spatiotemporal scale vegetation monitoring.”
      • role：First author第一作者
      • Affiliation：

        State Key Laboratory to Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China

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

      • Email：lilinyuan@bjfu.edu.cn
      • Introduction：李林源，研究方向为低空无人机植被定量遥感与应用。E-mail：lilinyuan@bjfu.edu.cn

      LI Linyuan

      12,
      • role：Corresponding author通信作者
      • Affiliation：

        State Key Laboratory to Efficient Production of Forest Resources, Beijing Forestry University, Beijing 100083, China

      • Email：huaguo_huang@bjfu.edu.cn
      • Introduction：黄华国，研究方向为林业定量遥感与应用。E-mail：huaguo_huang@bjfu.edu.cn

      HUANG Huaguo

      1 * ,
      • Affiliation：

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

      MU Xihan

      2,
      • Affiliation：

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

      YAN Guangjian

      2,
      • Affiliation：

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

      QI Jianbo

      2,
      • Affiliation：

        Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Science, Beijing 100093, China

      YAN Zhengbing

      3,
      • Affiliation：

        School of Atmospheric Science, Sun Yat-Sen University, Zhuhai 519082, China

      JIANG Jiale

      4,
      • Affiliation：

        National Engineering Research Center for Information Technology in Agriculture, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China

      YANG Hao

      5,
      • Affiliation：

        Research Center for UAV Application and Control, Chinese Academy of Science, Beijing 100101, China

      XIAO Qing

      6
    • Vol. 29, Issue 6, Pages: 2083-2113(2025)  

    • DOI：10.11834/jrs.20255048    

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