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    • Inversion method and application of river discharge based on multisource remote sensing data

    • Researchers relied on the Google Earth Engine GEE remote sensing cloud computing platform and used Landsat 5/7/8 and Sentinel-1/2 satellite remote sensing images to explore the topic of remote sensing river width inversion of multiple river sections in the Ganjiang River Basin. They verified that segmented inversion can significantly improve the accuracy of river sections affected by terrain evolution, laying the foundation for the construction of a wide area hydrological monitoring system.
      • role:First author第一作者
      • Affiliation:

        College of Civil Engineering, Jiangxi Science and Technology Normal University, Nanchang 330013, China

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

      • Email:gupengfei2020@163.com
      • Introduction:古鹏飞,研究方向为水文遥感。E-mail: gupengfei2020@163.com

      GU Pengfei

      12,
      • Affiliation:

        College of Civil Engineering, Jiangxi Science and Technology Normal University, Nanchang 330013, China

      LI Miaomiao

      1,
      • Affiliation:

        College of Civil Engineering, Jiangxi Science and Technology Normal University, Nanchang 330013, China

      WU Lang

      1,
      • Affiliation:

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

      WU Yongxiang

      2,
      • Affiliation:

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

      XU Yi

      2,
      • Affiliation:

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

      SHI Rui

      2,
      • Affiliation:

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

        College of Hydrology and Water Resources, Hohai University, Nanjing 210098, China

      WU Wei

      23,
      • Affiliation:

        Liaoning River Reservoir Management Service Center (Hydrology Bureau of Liaoning Province), Shenyang 110000, China

      JIANG Xi

      5,
      • role:Corresponding author通信作者
      • Affiliation:

        State Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China

        Yangtze Institute for Conservation and Development, Nanjing 210098, China

      • Email:gxwang@nhri.cn
      • Introduction:王高旭,研究方向为智慧水利、水资源规划与管理、生态水文、河湖管理等。E-mail: gxwang@nhri.cn

      WANG Gaoxu

      24 *
    • Vol. 30, Issue 5, Pages: 1479-1497(2026)  
    • DOI:10.11834/jrs.20265242    

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