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    • Remote sensing method for hydrological connectivity at optimal scale： A case study of connectivity changes in the middle and lower Yangtze River Plain

    • “The research team proposed a connection frequency method based on remote sensing water extraction results at the optimal scale, which comprehensively considers the scale characteristics of water bodies in different regions, calculates the temporal changes of hydrological connectivity in multiple regions based on the optimal scale, and achieves comparative analysis of hydrological connectivity changes across regions. The research team established a new quantitative system for hydrological connectivity, providing a cross regional comparative analysis solution for ecological protection and water resource management in plain lake areas.”
      • role：First author第一作者
      • Affiliation：

        Hubei Provincial Key Laboratory of Environment and Disaster Monitoring and Assessment, Institute of Precision Measurement Science and Technology Innovation, Chinese Academy of Sciences, Wuhan 430077

        University of Chinese Academy of Sciences, Beijing 100049

      • Email：luyuyi23@mails.ucas.edu.cn
      • Introduction：陆羽仪，研究方向为湿地环境及水资源遥感。E-mail： luyuyi23@mails.ucas.edu.cn

      LU Yuyi

      12,
      • Affiliation：

        School of Environmental Sciences and Engineering, Southern University of Science and Technology, Shenzhen 518055

      LUO Qiuqi

      3,
      • Affiliation：

        State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing,Wuhan 430079

      FENG Lian

      4,
      • role：Corresponding author通信作者
      • Affiliation：

        Hubei Provincial Key Laboratory of Environment and Disaster Monitoring and Assessment, Institute of Precision Measurement Science and Technology Innovation, Chinese Academy of Sciences, Wuhan 430077

      • Email：xbcai@whigg.ac.cn
      • Introduction：蔡晓斌，研究方向为湿地与水资源遥感。E-mail： xbcai@whigg.ac.cn

      CAI Xiaobin

      1 * ,
      • Affiliation：

        Hubei Provincial Key Laboratory of Environment and Disaster Monitoring and Assessment, Institute of Precision Measurement Science and Technology Innovation, Chinese Academy of Sciences, Wuhan 430077

        University of Chinese Academy of Sciences, Beijing 100049

      CHEN Yijun

      12
    • Vol. 30, Issue 5, Pages: 1450-1463(2026)  

    • DOI：10.11834/jrs.20265019    

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