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    • Synergistic phenological observation and analysis based on multispectral phenology camera and satellite time-series observations across representative ecosystem sites

    • “Vegetation phenology is a sensitive indicator of ecosystem response to climate and environmental changes. The research team has established a satellite ground collaborative phenology observation system and explored the optimal combination of multispectral sensors and vegetation indices under different ecosystems, providing a reference for fine phenological monitoring.”
      • 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

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

      • Email:zoujiawei24@mails.ucas.ac.cn
      • Introduction:邹家伟,研究方向为光学遥感信号处理、植被物候遥感。E-mail: zoujiawei24@mails.ucas.ac.cn

      ZOU Jiawei

      123,
      • role:Corresponding author通信作者
      • 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:

        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

      BAI Jingwei

      123,
      • Affiliation:

        College of Mathematics and System Science, Xinjiang University, Urumqi, 830049, China

      HAO Jia

      4,
      • 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

      ZHAO Yongchao

      123
    • Pages: 1-18(2026)  
    • DOI:10.11834/jrs.20266080    

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