ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2017, Vol. 54 ›› Issue (2): 267-283.doi: 10.7544/issn1000-1239.2017.20160837

Special Issue: 2017科学大数据管理专题

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Data Infrastructure for Remote Sensing Big Data: Integration, Management and On-Demand Service

Li Guoqing1, Huang Zhenchun2   

  1. 1(Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094);2(Department of Computer Science and Technology, Tsinghua University, Beijing 100084)
  • Online:2017-02-01

Abstract: The increasing growth of remote sensing data and geoscience research pushes earth sciences strongly and poses great challenges to data infrastructures for remote sensing big data, including the collection, storage, management, analysis and delivery. The de-fact remote sensing data infrastructures become bottleneck of the workflows for remote sensing data analysis because of their capability, scalability and performance. In this paper, data infrastructures for remote sensing big data are catalogued into 6 classes based on the features such as basic service unit, distributivity, heterogeneous, space-time continuation and on-demand processing. Then, architectures are designed for all the 6 classes of data infrastructures, and some implementation technologies such as data collection and integration, data storage and management, data service interface, and on-demand data processing, are discussed. With the architecture designs and implementation technologies, data infrastructures for remote sensing big data will provide PaaS (platform-as-a-service) and SaaS(software-as-a-service) services for developing much more remote sensing data analysis applications. With continuously growing data, tools and libraries in the infrastructures, users can easily develop analysis models to process remote sensing big data, create new applications based on these models, and exchange their knowledge each other by sharing models.

Key words: data infrastructure, remote sensing big data, on-demand processing, data integration, data management

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