Spacecraft Recovery & Remote Sensing, Volume. 46, Issue 4, 9(2025)

Application-Oriented Modeling Method for Remote Sensing Activities and Its Applications

Tao YU1,4,5, Pan XIONG2、*, Xingfa GU3,4, Chuan LIU5, Jun GAO6, Yu WU7, Gengke WANG1,4, Yameng ZHAO1,4, Jian YANG1,4, and Yulin ZHAN1,4
Author Affiliations
  • 1Aerospace Information Research Institute, Chinese Academy of Science, Beijing 100094, China
  • 2News Center of State Administration of Science, Technology and Industry for National Defence, Beijing 100037, China
  • 3School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
  • 4Demonstration Center for Spaceborne Remote Sensing, China National Space Administration, Beijing 100101, China
  • 5Langfang Research and Development Center for Spatial Information Technology, Langfang 065099, China
  • 6China Great Wall Industry Corporation, Beijing 100054, China
  • 7School of Earth System Science, Tianjin University, Tianjin 300072, China
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    Modeling approach is one of the key means of expressing and understanding of remote sensing activities. The remote sensing activity model set discussed herein is with the recognition of the interplay among remote sensing systems, observation targets, and individuals. It is formulated through several layers, of simplification and standardization, across dimensions including information, data, hardware and software, as well as evaluation. The systems engineering approach, derived from the integration of this suite of remote sensing activity models, robustly applied in several projects demonstration, exploring the role of remote sensing systems in practical construction and application, continuously enhancing their maturity, and providing strong support for establishing a system characterized by "Chinese standards, Chinese data, Chinese technology, and Chinese applications" featuring independent innovation.

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    Tao YU, Pan XIONG, Xingfa GU, Chuan LIU, Jun GAO, Yu WU, Gengke WANG, Yameng ZHAO, Jian YANG, Yulin ZHAN. Application-Oriented Modeling Method for Remote Sensing Activities and Its Applications[J]. Spacecraft Recovery & Remote Sensing, 2025, 46(4): 9

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    Paper Information

    Category: Expert Special Contribution

    Received: Dec. 23, 2024

    Accepted: Dec. 23, 2024

    Published Online: Sep. 12, 2025

    The Author Email: Pan XIONG (xp2009001@163.com)

    DOI:10.3969/j.issn.1009-8518.2025.04.002

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