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    • Multispectral phenology camera observations， quantitative data processing and applications in the China Phenology Observation Network

    • “The "China Phenology Observation Network" multispectral phenological camera, as a new type of near surface automatic observation method, introduced its research progress in the field of quantitative monitoring of vegetation phenology. The relevant team constructed a quantitative processing process for multispectral phenological camera observation data, laying the foundation for the construction of a satellite ground collaborative phenological monitoring system.”
      • role：First author第一作者
      • Affiliation：

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

        Key Laboratory of Target Cognition and Application Technology (TCAT), Beijing 100190, China

      • Email：zhangpeng@aircas.ac.cn
      • Introduction：张鹏，研究方向为光学定量遥感。E-mail： zhangpeng@aircas.ac.cn

      ZHANG Peng

      12,
      • Affiliation：

        Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China

      TAO Jinyou

      3,
      • Affiliation：

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

        Key Laboratory of Target Cognition and Application Technology (TCAT), Beijing 100190, China

        School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

      ZHOU Guangyao

      124,
      • Affiliation：

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      GE Quansheng

      5,
      • role：Corresponding author通信作者
      • Affiliation：

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      • Email：wanghj@igsnrr.ac.cn
      • Introduction：王焕炯，研究方向为植被物候与气候变化。E-mail： wanghj@igsnrr.ac.cn

      WANG Huanjiong

      5 *
    • Pages: 1-17(2026)  

    • DOI：10.11834/jrs.20266047    

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