测绘学报 ›› 2025, Vol. 54 ›› Issue (4): 587-602.doi: 10.11947/j.AGCS.2025.20250051

• 综述 •    

开放地球引擎OGE设计与研制

龚健雅1(), 乐鹏1,2,3,4(), 向隆刚5, 吴浩儒1, 王凯旋1, 刘瑞祥1, 滕宝鑫1   

  1. 1.武汉大学遥感信息工程学院,湖北 武汉 430079
    2.湖北珞珈实验室,湖北 武汉 430079
    3.地球空间信息技术协同创新中心,湖北 武汉 430079
    4.湖北省空间信息智能处理工程技术研究中心,湖北 武汉 430079
    5.武汉大学测绘遥感信息工程全国重点实验室,湖北 武汉 430079
  • 收稿日期:2025-02-09 发布日期:2025-05-30
  • 通讯作者: 乐鹏 E-mail:gongjy@whu.edu.cn;pyue@whu.edu.cn
  • 作者简介:龚健雅(1957—),男,博士,教授,中国科学院院士,研究方向为地理信息理论、摄影测量与遥感基础。 E-mail:gongjy@whu.edu.cn
  • 基金资助:
    国家杰出青年科学基金(42425108)

The design and implementation of the open geospatial engine (OGE)

Jianya GONG1(), Peng YUE1,2,3,4(), Longgang XIANG5, Haoru WU1, Kaixuan WANG1, Ruixiang LIU1, Baoxin TENG1   

  1. 1.School of Remote Sensing and Engineering, Wuhan University, Wuhan 430079, China
    2.Hubei Luojia Laboratory, Wuhan 430079, China
    3.Collaborative Innovation Center of Geospatial Technology, Wuhan 430079, China
    4.Hubei Province Engineering Center for Intelligent Geoprocessing (HPECIG), Wuhan 430079, China
    5.State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
  • Received:2025-02-09 Published:2025-05-30
  • Contact: Peng YUE E-mail:gongjy@whu.edu.cn;pyue@whu.edu.cn
  • About author:GONG Jianya (1957—), male, PhD, professor, academician of Chinese Academy of Sciences, majors in geographic information science and photogrammetry. E-mail: gongjy@whu.edu.cn
  • Supported by:
    The National Science Fund for Distinguished Young Scholars(42425108)

摘要:

时空信息新型基础设施的建设离不开新的软件中间件与地理信息服务模式。传统时空数据基础设施在云计算、人工智能和大数据的驱动下,正从数据服务走向智能计算服务。本文围绕时空智能计算服务平台,以数字地球立方体就绪型服务为目标,研究地球时空大数据组织、计算、推理等关键技术,研发算力-数据-算法深度耦合与开放共享的数字地球引擎系统,提供数据就绪、分析就绪、决策就绪的地球时空数据-信息-知识服务体系,构建“存-算-推”一体化开放地球引擎(OGE),形成基于时空立方体管理与分析地球时空大数据的新型时空信息基础设施。在此基础上研发了OGE原型系统,通过接入武汉大学及相关单位累积的多类型对地观测数据,开展了涵盖栅格、矢量与专题数据的典型时空分析试验,验证了OGE的地球时空大数据管理与分析能力。

关键词: 地理信息服务, 时空信息基础设施, 开放地球引擎, 时空智能计算, 时空立方体

Abstract:

The construction of new spatiotemporal information infrastructure relies on innovative software middleware and geographic information service models. Driven by cloud computing, artificial intelligence, and big data, traditional spatiotemporal data infrastructure is evolving from data services to intelligent computing services. This paper focuses on a spatiotemporal intelligent computing service platform, aiming to develop a Digital Earth Cube-ready service. It explores key technologies in organizing, computing, and reasoning with geospatial big data, and develops the open geospatial engine (OGE) system, which deeply integrates computing power, data, and algorithms while promoting openness and sharing. The system provides a data-ready, analysis-ready, and decision-ready geospatial data-information-knowledge service framework, forming an open geospatial engine (OGE) and establishing a new type of spatiotemporal information infrastructure based on spatiotemporal cube management and geospatial big data analysis. Based on this foundation, an OGE prototype system has been developed, integrating various types of Earth observation data accumulated by Wuhan University and related institutions. A series of typical spatiotemporal analysis experiments covering raster, vector, and thematic data were conducted, validating OGE's capabilities in managing and analyzing geospatial big data.

Key words: geospatial information services, spatio-temporal information infrastructure, open geospatial engine, spatiotemporal intelligent computing, geospatial data cube

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