摘要
随着空间遥感、自动分类、变化监测等技术的长足进步,地表覆盖数据生成的速度越来越快,时空分辨率不断提高,数据量呈现出前所未有的增长态势,可望成为极具应用价值的空间型大数据集。为了推动地表覆盖大数据的资源建设和分析利用,应通过SOC方法及Web服务方式,实现分布式地表覆盖信息资源的跨平台松耦集成,提供数据内容服务和信息处理服务。但现有SOC方法及有关地理信息Web服务标准难以完全顾及地表覆盖数据类型多样、处理复杂、变化较快等特点,无法有效支撑地表覆盖动态信息的发布、发现与调用。本文提出以信息动态集成、处理动态构建、变化动态推送为主线,研究和发展地表覆盖动态服务计算,将地表覆盖的静态信息服务提升为动态信息服务,为地表覆盖大数据的协同建设和深度挖掘提供先进计算平台与手段。
The steady progress made in space remote sensing, automatic classification, change detection technolo- gies, and so on has rapidly generated huge amount of land cover data with increasing spatial and temporal resolu- tion and unprecedented growth trend. These data are expected to become big datasets with great application values. In order to promote the construction of large land cover data resources and their analytical use, service-oriented computing methods and Web services are utilized to achieve cross-platform, loosely-coupled integration of distribu- ted land cover information resources, and provide data content services and information processing services. How- ever, the existing service-oriented computing methods and related GIS Web services standards do not fully take into consideration the variety of land cover data types, complexity of data processing, and ability to deal with rapid land cover changes; therefore cannot effectively support the land cover dynamic information publishing, discovery and invocation. The research and development of dynamic service computing of land cover information, mainly on dy- namic information integration, dynamic processing composition, and dynamic information push are discussed in this paper. Enhancing static land cover information services to dynamic services offers advanced computing plat- forms and means for collaborative construction and in-depth mining of big land cover data.
出处
《测绘科学技术学报》
CSCD
北大核心
2013年第4期369-374,共6页
Journal of Geomatics Science and Technology
基金
国家自然科学基金重点项目(41231172)
关键词
地表覆盖
大数据
信息服务
服务计算
动态
land cover
big data
information service
service computing
dynamics
