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    • MODIS PWV neural network correction model considering spatial neighborhood characteristics

      • role：First author第一作者
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

      • Email：ts22160147p31@cumt.edu.cn
      • Introduction：刘洋，研究方向为遥感数据融合与处理。E-mail： ts22160147p31@cumt.edu.cn

      LIU Yang

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

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        MNR Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China

      • Email：zhangwy@cumt.edu.cn
      • Introduction：张文渊，研究方向为GNSS气象学、遥感数据融合与处理、水汽层析。E-mail： zhangwy@cumt.edu.cn

      ZHANG Wenyuan

      12 * ,
      • Affiliation：

        Laixi Bureau of Natural Resources, Qingdao 266600, China

      LI Wenyun

      3,
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

        MNR Key Laboratory of Land Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China

      ZHANG Shubi

      12,
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

      ZHANG Kefei

      1,
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

      WANG Nandi

      1,
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

      GAO Yu

      1,
      • Affiliation：

        School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

      WANG Mengyao

      1
    • Vol. 30, Issue 1, Pages: 144-155(2026)  

    • DOI：10.11834/jrs.20254201    

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