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    • Spatio-temporal prediction and cause mechanism analysis of InSAR long-term land subsidence based on bidirectional PhConvLSTM

    • “The research on ground subsidence prediction at Beijing Daxing International Airport has made progress, and the research team has established a spatiotemporal prediction system based on the bidirectional PhConvLSTM model, providing a solution to address airport safety hazards.”
      • role:First author第一作者
      • Affiliation:

        Heilongjiang Basic Geographic Information Center, Ministry of Natural Resources, Harbin 150081, China

        School of Artificial Intelligence, China University of Geosciences (Beijing), Beijing 100083, China

      • Email:1900230963@qq.com
      • Introduction:赵一鸣,研究方向为测绘数据生产。E-mail: 1900230963@qq.com

      ZHAO Yiming

      12,
      • Affiliation:

        China Academy of Civil Aviation Science and Technology, Beijing 100028, China

      XU Yubin

      3,
      • Affiliation:

        Beijing Daxing International Airport, Beijing 102604, China

      GUO Bin

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

        School of Artificial Intelligence, China University of Geosciences (Beijing), Beijing 100083, China

        Hebei Key Laboratory of Geospatial Digital Twin and Collaborative Optimization, Beijing 100083, China

        Frontier ScienceCenter for Deep-time Digital Earth, China University of Geosciences (Beijing), Beijing 100083, China

        State key Laboratory of Geological Processes and Mineral Resources, Beijing 100083, China

      • Email:mingdp@cugb.edu.cn
      • Introduction:明冬萍,研究方向为遥感地学智能计算、高分遥感、大数据地质灾害智能监测等。E-mail: mingdp@cugb.edu.cn

      MING Dongping

      2567 *
    • Vol. 30, Issue 10, Pages: 3080-3096(2026)  
    • DOI:10.11834/jrs.20265130    

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College of Resources Environment and Tourism, Capital Normal University
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