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    • New research paradigm for global land cover mapping

      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      GONG Peng

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      ZHANG Wei

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      YU Le

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

        Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University

      LI Congcong

      12,
      • Affiliation：

        Arkansas Forest Resources Center, University of Arkansas Division of Agriculture, School of Forestry and Natural Resources,University of Arkansas at Monticello, University Court

      WANG Jie

      3,
      • Affiliation：

        Department of Environmental Science, Policy, and Management, University of California

      LIANG Lu

      4,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      LI Xuecao

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      JI Luyan

      1,
      • Affiliation：

        State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences and Beijing Normal University

      BAI Yuqi

      1
    • Vol. 20, Issue 5, Pages: 1002-1016(2016)  

    • DOI：10.11834/jrs.20166138    

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Related Institution

State Key Laboratory of Integrated Services Networks, Xidian University
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Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources
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School of Environment Science and Spatial Informatics, China University of Mining and Technology