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    • High-resolution remote sensing monitoring of urban blue space pattern and dynamics in State-Level New Areas

    • The research progress in the field of urban blue space monitoring was introduced, and experts proposed the CRRU Net deep learning model, which provides data support for solving the coordination problem between urbanization and water ecological protection.
      • role:First author第一作者
      • Affiliation:

        College of Surveying and Geotechnical Engineering, Henan Polytechnic University, Jiaozuo 454000, China

        Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

        State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

      • Email:gsc821369160@163.com
      • Introduction:高世昌,研究方向为水文遥感。E-mail: gsc821369160@163.com

      GAO Shichang

      123,
      • Affiliation:

        College of Surveying and Geotechnical Engineering, Henan Polytechnic University, Jiaozuo 454000, China

      LIU Changhua

      1,
      • Affiliation:

        Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

        State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

      ZENG Fanxuan

      23,
      • role:Corresponding author通信作者
      • Affiliation:

        Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

        State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China

      • Email:cqsong@niglas.ac.cn
      • Introduction:宋春桥,研究方向为湖泊水文遥感、全球变化影响及高山亚洲环境等。E-mail: cqsong@niglas.ac.cn

      SONG Chunqiao

      23 *
    • Vol. 30, Issue 3, Pages: 558-574(2026)  
    • DOI:10.11834/jrs.20265213    

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