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    • High-precision retrieval of suspended sediment concentration in the Yellow River based on Landsat 8: Integration of physical mechanisms and deep learning

      • role:First author第一作者
      • Affiliation:

        Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

        National-Local Joint Engineering Center for Geographical National Condition Monitoring Technology Application, Lanzhou 730070, China

        Gansu Provincial Key Laboratory of Surveying and Mapping Science and Technology, Lanzhou 730070, China

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      • Email:794236463@qq.com
      • Introduction:周政,研究方向为水资源遥感研究。E-mail:794236463@qq.com

      ZHOU Zheng

      1234,
      • Affiliation:

        Land Consolidation Center of Chao'an District, Chaozhou City, Chaozhou 521000, China

      HUANG Jianxiong

      5,
      • Affiliation:

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      GUAN Haozhe

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

        Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      • Email:yeyuntao@iwhr.com
      • Introduction:冶运涛,研究方向为水文水资源、智慧水利研究。E-mail:yeyuntao@iwhr.com

      YE Yuntao

      14 * ,
      • Affiliation:

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      GU Jingjing

      4,
      • Affiliation:

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      CAO Yin

      4,
      • Affiliation:

        Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China

        China Institute of Water Resources and Hydropower Research, Beijing 100038, China

      JIANG Yunzhong

      14
    • Vol. 30, Issue 7, Pages: 2025-2041(2026)  
    • DOI:10.11834/jrs.20265534    

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