地球信息科学学报 ›› 2021, Vol. 23 ›› Issue (8): 1351-1361.doi: 10.12082/dqxxkx.2021.200671

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自然资源大数据应用技术框架与学科前沿进展

沈镭1(), 郑新奇2, 陶建格3,*()   

  1. 1.中国科学院地理科学与资源研究所,北京 100101
    2.中国地质大学(北京) 信息工程学院,北京 100083
    3.中原工学院 系统与工业工程研究中心,郑州 451191
  • 收稿日期:2020-11-08 修回日期:2020-12-21 出版日期:2021-08-25 发布日期:2021-10-25
  • 通讯作者: 陶建格
  • 作者简介:沈 镭(1964— ),男,湖北麻城人,博士,研究员,研究方向为资源经济学。E-mail: shenl@igsnrr.ar.cn
  • 基金资助:
    中国科学院战略性先导科技专项(A类)(XDA19040102);中华人民共和国科学技术部澜沧江-湄公河合作专项基金项目;国家自然科学基金项目(41771566);河南省自然科学基金(212300410423);河南省高校科技创新人才支持计划项目(2018-CX-011);河南省高校哲学社会科学创新团队建设计划项目(2019-CXTD-10);教育部社科规划项目(19YJA630067);中国科学院国际合作局对外合作重点项目(131A11KYSB20170117)

Application Technology Framework and Disciplinary Frontier Progress of Natural Resources Big Data

SHEN Lei1(), ZHENG Xinqi2, TAO Jiange3,*()   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    2. School of Information Engineering, China University of Geosciences (Beijing), Beijing 100083, China
    3. Systems and Industrial Engineering Technology Research Center, Zhongyuan University of Technology, Zhengzhou 451191, China
  • Received:2020-11-08 Revised:2020-12-21 Online:2021-08-25 Published:2021-10-25
  • Contact: TAO Jiange
  • Supported by:
    Special Project of Strategic Leading Science and Technology of Chinese Academy of Sciences (Class A)(XDA19040102);Lancang-Mekong River Cooperation Special Fund Project of the Ministry of Science and Technology of China;National Natural Science Foundation of China(41771566);Natural Science Foundation of Henan Province(212300410423);Science and Technology Innovation Talent Support Plan of Colleges and Universities in Henan Province(2018-CX-011);Henan Province University Philosophy Social Science Innovation Team Construction Llana(2019-CXTD-10);Social Science Planning Project of Ministry of Education(19YJA630067);Key Foreign Cooperation Projects Funded by the Bureau of International Cooperation, Chinese Academy of Sciences(131A11KYSB20170117)

摘要:

自然资源大数据及其处理技术应用能够为自然资源研究与管理,特别是揭示自然资源系统要素、结构与关联研究提供基础支撑,为资源科学发展提供新思路、新方法和新技术。本文试图厘清自然资源大数据的概念、主要特征和发展趋势,分析自然资源大数据对于国民经济与社会发展的重要现实意义。自然资源大数据建设既是自然资源信息化的重要组成部分,也是提高自然资源产业及整个社会经济效率、完善自然资源治理结构和提升自然资源治理能力现代化的新手段。本文在地球系统科学体系下,构建了自然资源大数据应用研究的知识框架,基于“一图一网一平台”结构,提出建立空天地一体化自然资源大数据库和“生产-生活-生态”应用框架,探讨建立基于自然资源数据收集、处理与应用的结构体系,并以此技术框架分析了自然资源大数据应用研究的学科前沿进展和发展趋势。

关键词: 自然资源, 大数据, 地球系统科学, 应用框架, 数据关联, 信息管理, 学科前沿

Abstract:

The application of natural resources big data and its processing technology can provide basic support for the research and management of natural resources, especially for revealing the elements, structure, and correlation of natural resources system, and provide new ideas, new methods, and new technologies for the development of resources science. This paper attempts to clarify the concept, main characteristics, and development trend of natural resources big data, and analyzes the practical significance of natural resources big data for national economic and social development. The construction of natural resources big data is not only an important part of natural resources informatization, but also a new way to improve the efficiency of natural resources industry and the whole social economy, and the governance structure of natural resources and the modernization of natural resources governance capacity. In this paper, the knowledge framework of natural resources big data application research is constructed under the earth system science system, based on the structure of "one map, one network, and one platform", this paper proposes to establish a large database of natural resources integrating space, aviation and ground observations and an application framework in terms of production, residential and ecological spaces, and discusses the establishment of a structural system based on data collection, processing, and application of natural resources. The frontier progress and development trend of natural resources big data application research are also analyzed under this technical framework.

Key words: natural resources, big data, earth system science, application framework, data association, information management, discipline frontier progress