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    • Seasonal pattern-guided parcel rice automated sample generation and remote sensing mapping in hilly and mountainous areas

    • A research team from Tongnan District, Chongqing explored the remote sensing mapping of rice in hilly and mountainous areas by analyzing the seasonal patterns of rice in different imaging modes based on cultivated land plots, and proposed an automatic sample generation strategy. This laid the foundation for the construction of a food security monitoring system.
      • role:First author第一作者
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, Beijing

      • Email:liziqi231@mails.ucas.ac.cn
      • Introduction:李子琪, 研究方向为农业遥感智能计算。E-mail: liziqi231@mails.ucas.ac.cn

      LI Ziqi

      12,
      • role:Corresponding author通信作者
      • Affiliation:

        School of Land Engineering, Chang’an University, Xi’an 710064, China

      • Email:tjwu@chd.edu.cn
      • Introduction:吴田军, 研究方向为遥感智能计算与地理时空智能。E-mail: tjwu@chd.edu.cn

      WU Tianjun

      3 * ,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, Beijing

      LUO Jiancheng

      12,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, Beijing

      ZHANG Jing

      12,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, Beijing

      LI Manjia

      12,
      • Affiliation:

        State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

        College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, Beijing

      FANG Zhiyang

      12
    • Vol. 29, Issue 9, Pages: 2728-2747(2025)  
    • DOI:10.11834/jrs.20255064    

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FANG Zhiyang 中国科学院空天信息创新研究院 遥感与数字地球全国重点实验室;中国科学院大学 资源与环境学院
LI Manjia 中国科学院空天信息创新研究院 遥感与数字地球全国重点实验室;中国科学院大学 资源与环境学院
ZHANG Jing 中国科学院空天信息创新研究院 遥感与数字地球全国重点实验室;中国科学院大学 资源与环境学院
LUO Jiancheng 中国科学院空天信息创新研究院 遥感与数字地球全国重点实验室;中国科学院大学 资源与环境学院
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LI Ziqi 中国科学院空天信息创新研究院 遥感与数字地球全国重点实验室;中国科学院大学 资源与环境学院
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PENG Zimeng 中国农业科学院农业资源与农业区划研究所 北方干旱半干旱耕地高效利用全国重点实验室/ 农业农村部农业遥感重点实验室

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