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    • High-Frequency Monitoring of Suspended Sediment Concentration in an Arid River-Lake System Using Spatiotemporal Fusion and Machine Learning

    • “The water environment of Bosten Lake is affected by both climate change and human activities, resulting in significant spatiotemporal differences in suspended sediment concentration. The research progress in the field of dynamic monitoring of water sediment is introduced, and the research team has constructed a complex inland water SSC high spatiotemporal resolution monitoring method system, laying the foundation for multi-source collaborative observation and water cycle evolution assessment of inland water in arid areas.”
      • role：First author第一作者
      • Affiliation：

        College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

      • Email：niesongl@163.com
      • Introduction：聂松林，研究方向为水色遥感。E-mail： niesongl@163.com

      NIE Songlin

      1,
      • role：Corresponding author通信作者
      • Affiliation：

        College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China

      • Email：zhangfei3s@163.com
      • Introduction：张飞，研究方向为生态环境遥感应用研究。Email：zhangfei3s@163.com

      ZHANG Fei

      2 * ,
      • Affiliation：

        College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

      TANG Jiarong

      1,
      • Affiliation：

        College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China

      FENG Ziheng

      1,
      • Affiliation：

        Xinjiang Production and Construction Corps Investigation, Design and Research Institute Co., Ltd., Urumqi 830002, China

      WANG Huijing

      3,
      • Affiliation：

        Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China

      LAI Xinyu

      4
    • Pages: 1-18(2026)  

    • DOI：10.11834/jrs.20266157    

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