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    • Fine-scale tree species mapping in mountainous regions using integrated machine learning and object-based remote sensing： A case study of the Qinling-Daba Mountains

      • role：First author第一作者
      • Affiliation：

        School of Land Engineering, Chang’an University, Xi’an 710054, China

        Key Laboratory of Shaanxi Land Consolidation, Xi’an 710054, China

      • Email：wangxf@chd.edu.cn
      • Introduction：王晓峰，研究方向为生态遥感。E-mail： wangxf@chd.edu.cn

      WANG Xiaofeng

      12,
      • Affiliation：

        School of Land Engineering, Chang’an University, Xi’an 710054, China

      YANG Zihuan

      1,
      • Affiliation：

        Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China

      LIU Shirong

      3,
      • Affiliation：

        School of Land Engineering, Chang’an University, Xi’an 710054, China

      ZHOU Chaowei

      1,
      • Affiliation：

        Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China

      CHEN Jizhen

      3,
      • Affiliation：

        Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing 100091, China

      HUANG Zhilin

      3,
      • Affiliation：

        School of Land Engineering, Chang’an University, Xi’an 710054, China

      BAI Juan

      1
    • Vol. 30, Issue 6, Pages: 1627-1646(2026)  

    • DOI：10.11834/jrs.20265334    

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