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Earth observation knowledge hub： Implications， key technologies and perspectives

  • role： First author第一作者
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100094, China

  • Email：zhaolm@aircas.ac.cn
  • Introduction：赵利民，研究方向为光学遥感卫星应用工程。E-mail： zhaolm@aircas.ac.cn
ZHAO Limin123,  
  • Affiliation：

    National Remote Sensing Center of China, Beijing 100036, China

MIAO Chen4,  
  • Affiliation：

    Earth Observation System and Data Center, China National Space Administration, Beijing 100101, China

XING Jin5,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Earth Observation Data Center, Beijing 100094, China

LI Guoqing16,  
  • Affiliation：

    Qian Xuesen Laboratory, China Academy of Space Technology, Beijing 100094, China

HOU Yukui7,  
  • Affiliation：

    Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China

LIU Chuang8,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100094, China

LI Jiaguo123,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100094, China

CHEN Xingfeng123,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

LIU Jun12,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100094, China

YANG Jian123,  
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

ZHOU Xiang12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

    National Engineering Research Center of Satellite Remote Sensing Applications, Beijing 100094, China

    Demonstration Centre for Spaceborne Remote Sensing National Space Administration, Beijing 100094, China

  • Email：guxf@aircas.ac.cn
  • Introduction：顾行发，研究方向为遥感定标与真实性检验。E-mail： guxf@aircas.ac.cn
GU Xingfa123*

résumé

Intelligently sharing and reusing the knowledge developed by application practices are the keys to break through technical barriers and fully activate and release the effectiveness of Earth Observations (EO). The Earth Observation Knowledge Hub (EOKH), which is used to couple decentralized knowledge bases organically, is a research frontier for the governance and intelligent service of global EO applications. In the design of Group on Earth Observations (GEO), the GEO Knowledge Hub (GKH) is intended to provide authoritative, validated, and reproducible content for evidence-based reporting on policy commitments and decision-making. Thus, the GKH offers a platform for users to discover, learn about, and employ methods, analytical tools, and applications; it also provides opportunities for the GEO community to collaborate and provide mutual assistance related to GKH contents. However, important lessons, such as the sensitive issue of intellectual ethics and how to profit GKH from the recent technological advances in information technologies, have been learned during the implementations. In response to the problems and insights encountered by GEO in developing GKH, we systematically analyzed the connotation and characteristics of EOKH and sorted out the fundamental needs and challenges for the development of EOKH in China.First, we systematically analyzed the connotation and characteristics of EOKH. The study argues that EOKH is the intersection node of high-throughput trusted EO knowledge in knowledge-sharing networks. It has three typical features, i.e., connectivity, high throughput, and lightweight computing. Its core mission is to identify and transfer valuable research in a timely manner and to promote high throughput of application packages. Second, we sorted out the fundamental needs and challenges for the development of EOKH in China. Considering the latest progress in the study of EO ontology, we also analyzed the possible key technical problems and gave strategies to cope with them. On this basis, the system architecture prototype of EOKH, which is drawn on the system design concept of representational state transfer, is proposed, and an ontology model of conceptual EO knowledge and a formalization model of process-oriented EO knowledge are established.The study argues that EOKH should be in an open collaborative environment where humans are in the loop. The key technologies are system metrics, knowledge transfer, knowledge reuse, and knowledge exploration and visualization. The transfer and reuse of knowledge packages can greatly enhance the ease of development and reuse of EO application practices. Ontology modeling helps formalize the intrinsic connection between the human-cyber-physical systems of EO application and enhances the interpretability of higher-order complex problems.EOKH transforms knowledge sharing from point to point at the element level to group collaborative at the system level, which not only reduces the cost of cross-industry and socially integrated EO applications but also avoids repetitive research inputs, helps break through technical barriers and cognitive obstacles, and releases the effectiveness of satellite digital economy services comprehensively. The study argues that connecting EO knowledge in the human–cyber–physical systems and exploring high-throughput knowledge coproduction and transfer technology in a “humans-in-the-loop” environment are necessary to enhance the interpretability of tacit EO knowledge and promote the competitiveness and activeness of EOKH.

mots-clés

remote sensing;Knowledge hub;Earth observations;ontologies;knowledge packages;knowledge recusing;cyber-physical-social systems;humans in the loop

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