多源海量统计遥感数据集成管理技术研究

统计遥感业务是国家统计局基于统计业务对空间信息的发展和应用需求，将GIS、Rs和GPS空间信息技术全面应用于统计数据的获取、管理与分析中，从而提高统计效率和统计科技含量，构建新型国家统计业务体系。统计遥感业务数据具有多源、海量的特点，实现统计遥感数据的集成与管理是新型统计遥感业务成功运转的基础。针对统计遥感业务及数据应用需求，通过对各类空间数据集成与管理技术进行研究，提出在建立统计遥感空间数据库基础上，将影像以县级为单位进行拼接、然后压缩存储到统计遥感空间数据库，同时结合影像编目技术实现海量遥感影像的管理；提出将元数据管理和数据转换、数据直接访问以及数据互操作方式，实现多源统计遥感数据的集成与管理。通过多种方式，从应用层面较好地解决了海量、多源统计遥感数据的集成与管理，提升了统计遥感数据的应用范围。

Study on Integration and Management Technology of Multi-source and Massive Remote Sensing and Statistical Data

Remote sensing applied in national statistical system is based on the statistical requirements on spatial information development and application, National Bureau of Statistics of China comprehensively adopts GIS, RS and GPS technologies in acquisition, management and analysis of data, in order to improve statistical efficiency and make up a new type of national statistical system. Remote sensing and statistical （RSAS） data are characterized by massive and muhi-source. The integration and management of RSAS data are the foundation for the successfully operation of the new type statistical system. First, the RSAS data are analyzed, and organized and managed by spatial databases. Then, methods to manage massive remote sensing data are proposed. There are two steps, step one is to embed frames of remote sensing images to a county level, and then the result images of counties are compressed and stored in spatial databases. Step two, Cataloging remote sensing images of provincial level and national level, i. e. establishing a remote sensing image content, which can give out a logic relationship between administrative regions and their corresponding images. Finally, muhi-resource integration and management technologies of RSAS data are discussed, which include metadata manage technology, data transfer technology, multi-source spatial data accessing technology and spatial data interoperability technology.