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    • Information extraction and system construction of digital forest system based on multisource remote sensing data

    • New progress has been made in digital forestry research at the Saihanba Mechanical Forest Farm in Hebei Province. Remote sensing technology is used to extract single tree information and reconstruct 3D models, and a digital forestry system is developed to provide data support for forest management.
      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      • Email:xiedonghui@bnu.edu.cn
      • Introduction:谢东辉, 研究方向为定量遥感机理和遥感应用。E-mail:xiedonghui@bnu.edu.cn

      XIE Donghui

      1,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      • Email:yili@mail.bnu.edu.cn
      • Introduction:李益, 研究方向为植被定量遥感。E-mail: yili@mail.bnu.edu.cn

      LI Yi

      1 * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      ZHOU Kun

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      ZHANG Zhixiang

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      JIN Lin

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      YAN Guangjian

      1,
      • Affiliation:

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Beijing Normal University, Beijing 100875, China

      MU Xihan

      1,
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      LI Wenhang

      2,
      • Affiliation:

        Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

      FENG Gongyao

      2
    • Vol. 28, Issue 5, Pages: 1281-1294(2024)  
    • DOI:10.11834/jrs.20242655    

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