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    • Large-scale sub-canopy topography estimation from TanDEM-X InSAR and ICESat-2 data using machine learning method

    • “In the field of digital elevation modeling, researchers have proposed a machine learning based method that combines anDEM-X InSAR, ICESat-2, and Landsat 8 data to effectively improve the accuracy of understory terrain estimation.”
      • role：First author第一作者
      • Affiliation：

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      • Email：csuhuacan@csu.edu.cn
      • Introduction：胡华参，研究方向为基于InSAR技术的森林高度和林下地形估计。E-mail： csuhuacan@csu.edu.cn

      HU Huacan

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

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      • Email：zjj@csu.edu.cn
      • Introduction：朱建军，研究方向为误差数据处理及其在InSAR中的应用。E-mail： zjj@csu.edu.cn

      ZHU Jianjun

      1 * ,
      • Affiliation：

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      FU Haiqiang

      1,
      • Affiliation：

        Institute for Computer Research, University of Alicante, Alicante 03690, Spain

      LOPEZ-SANCHEZ Juan Manuel

      2,
      • Affiliation：

        iuFOR-EiFAB, University of Valladolid, Campus Duques de Soria 47002, Spain

        School of Geoscience, University of Aberdeen, Aberdeen AB24 3UE, Scotland, UK

      GÓMEZ Cristina

      34,
      • Affiliation：

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      ZHANG Tao

      1,
      • Affiliation：

        School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

      LIU Kui

      1
    • Vol. 29, Issue 1, Pages: 191-202(2025)  

    • DOI：10.11834/jrs.20233152    

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