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    • “In the field of geographic element classification, the evolution of machine learning methods has promoted the development of intelligent classification applications for natural and human elements.”
      • role：First author第一作者
      • Affiliation：

        State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

        Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

      • Email：wangjl@igsnrr.ac.cn
      • Introduction：王卷乐，研究方向为资源环境科学数据共享。E-mail： wangjl@igsnrr.ac.cn

      WANG Juanle

      135,
      • Affiliation：

        State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China

      LI Kai

      12,
      • Affiliation：

        State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      YAN Xinrong

      13,
      • Affiliation：

        State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        Institute of Disaster Prevention, Sanhe 065201, China

      ZHENG Li

      14,
      • Affiliation：

        State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

        University of Chinese Academy of Sciences, Beijing 100049, China

      HAN Xuehua

      13
    • Vol. 27, Issue 8, Pages: 1757-1768(2023)  

    • DOI：10.11834/jrs.20232299    

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WANG Juanle 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室;中国科学院大学;江苏省地理信息资源开发与利用协同创新中心
LI Kai 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室;中国矿业大学(北京) 地球科学与测绘工程学院
YAN Xinrong 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室;中国科学院大学
ZHENG Li 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室;防灾科技学院
HAN Xuehua 中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室;中国科学院大学
SUN Kaiping 西南林业大学 水土保持学院
ZHANG Jialong 西南林业大学 林学院(亚太林学院)
TENG Chenkai 西南林业大学 林学院(亚太林学院)

Related Institution

State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
College of Geoscience and Surveying Engineering, China University of Mining & Technology
University of Chinese Academy of Sciences
Institute of Disaster Prevention
Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application