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    • Using UAV remote sensing to analyze the population and distribution of large wild herbivores

      • role:First author第一作者
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 101407, China

      • Email:shaoqq@igsnrr.ac.cn
      • Introduction:邵全琴(1962— ),女,研究员,研究方向为生态系统监测与评估。E-mail:shaoqq@igsnrr.ac.cn

      Quanqin SHAO

      13,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 101407, China

      Xingjian GUO

      13,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      Yuzhe LI

      1,
      • Affiliation:

        Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610000, China

      Yangchun WANG

      2,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      Dongliang WANG

      1,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      Jiyuan LIU

      1,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

      Jiangwen FAN

      1,
      • Affiliation:

        Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 101407, China

      Fan YANG

      13
    • Vol. 22, Issue 3, Pages: 497-507(2018)  

      Accepted:13 January 2018

    • DOI:10.11834/jrs.20187267    

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