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地理国情大数据研究框架
引用本文:张继贤,顾海燕,鲁学军,侯伟,余凡.地理国情大数据研究框架[J].遥感学报,2016,20(5):1017-1026.
作者姓名:张继贤  顾海燕  鲁学军  侯伟  余凡
作者单位:国家测绘产品质量检验测试中心, 北京 100830,中国测绘科学研究院, 北京 100830,中国科学院地理科学与资源研究所, 北京 100101,中国测绘科学研究院, 北京 100830,中国测绘科学研究院, 北京 100830
基金项目:国家科技支撑计划项目(编号:2012BAK10B07-01)
摘    要:地理国情监测作为大数据时代测绘地理信息领域一个新的、重要战略方向,其发展迫切需要顶层设计与新型技术的支撑,需要建立一种灵活、高效、低成本的大数据处理模式与服务方式。本文以地理国情监测与大数据研究相结合为切入点,阐述了地理国情大数据的分类及特点,提出了云计算环境下地理国情大数据研究架构,并从地理国情大数据存储、处理、挖掘、应用服务4个方面探讨了地理国情大数据云平台建设思路。本文将有助于地理国情监测的生产方式与服务模式变革,推动地理国情监测的广泛应用与产业化发展。

关 键 词:地理国情监测  大数据  地理国情大数据  云计算
收稿时间:2016/5/15 0:00:00
修稿时间:2016/7/1 0:00:00

Research framework of geographical conditions and big data
ZHANG Jixian,GU Haiyan,LU Xuejun,HOU Wei and YU Fan.Research framework of geographical conditions and big data[J].Journal of Remote Sensing,2016,20(5):1017-1026.
Authors:ZHANG Jixian  GU Haiyan  LU Xuejun  HOU Wei and YU Fan
Institution:National Quality Inspection and Testing Center for Surveying and Mapping Products State, Beijing 100830, China,Chinese Academy of Surveying and Mapping, Beijing 100830, China,Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China,Chinese Academy of Surveying and Mapping, Beijing 100830, China and Chinese Academy of Surveying and Mapping, Beijing 100830, China
Abstract:Geographical Conditions Monitoring (GCM) is a novel and important aspect in the development of geoinformation science in the age of big data. Its development needs top-level design, new technology, and the establishment of a more flexible, efficient, and low cost service mode. This paper first explains the sources and characteristics of Geographical Condition and Big Data (GCBD), which mainly comprises eight types of data, namely, Earth observation data, basic geographic information data, geographical condition census data, geographical condition monitoring change data, ground observation data, survey and investigation data, statistics data, and public source geospatial data. GCBD involves five Vs, namely, volume, variety, velocity, veracity, and value, and exhibits the characteristics of regionality, objectivity, and dynamicity. A research framework of GCBD in the cloud computing environment is then presented. A deep transformation of "geographical data, geographical information, and geographical conditions" must be achieved through the establishment of a "space-aviation-ground" integrated monitoring network, a big data warehouse and cloud computing center, and a big data service environment to provide active, intelligent, integrated, and specialized service for the public, enterprises, and governments. Finally, building a cloud platform of GCBD is discussed from the perspectives of data storage, processing, mining, and application service. The cloud platform can fulfill the requirements of GCM in rapid data processing, data mining, intelligent service, and public application. The establishment of the GCBD framework can significantly change the service mode of GCM and promote its wide application and industrialized development.
Keywords:geographical conditions monitoring  big data  geographical conditions and big data  cloud computing
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