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    • Intelligent computation of geospatial object parameters guided by spatial distribution patterns

    • “The research progress in the field of land spatial parameter calculation was introduced, and relevant experts constructed a geographic target object cognition and parameter calculation framework coupled with spatial models, providing an effective framework for digital expression and parameter calculation of surface space, and providing scientific basis for the application of this framework in different surface regions.”
      • role：First author第一作者
      • Affiliation：

        National 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：limanjia21@mails.ucas.ac.cn
      • Introduction：李曼嘉，研究方向为遥感智能计算。E-mail： limanjia21@mails.ucas.ac.cn

      LI Manjia

      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，研究方向为遥感大数据图谱认知研究。E-mail： tjwu@chd.edu.cn

      WU Tianjun

      3 * ,
      • Affiliation：

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

      LUO Jiancheng

      1,
      • Affiliation：

        National 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：

        National 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

      LU Xuanzhi

      12,
      • Affiliation：

        National 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 Ziqi

      12,
      • Affiliation：

        National 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 12, Pages: 3640-3665(2025)  

    • DOI：10.11834/jrs.20255188    

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