Remote Sensing Data Integration Across Multiple Data Centers

With the development of earth observation technology,all kinds of satellites and sensors launch and lift,the volume of remote sensing data has ushered in the explosive growth,resulting in the multisource and heterogeneous remote sensing data.And the different types of satellite data are stored and managed by multiple geographic data centers,resulting in the differences in the organizational standards and storage methods of remote sensing data.In the multi satellite data center scenario,mass,multi source and heterogeneous remote sensing data have brought great challenges to data integration and storage management,data processing and product production on the one hand.On the other hand,the ability of the existing data integration system can not meet the growing demand of data service.This paper studies the technology of mass remote sensing data integration stored in multi satellite data center,organize and integrate multi center data,promote the management and archiving of scientific data,improve the interoperability of data between independent data systems,and provide efficient and high quality data services.First of all,aiming at the integration of massive,multi-source,and heterogeneous remote sensing data,the introduction of geographic information metadata standards and establishment of remote sensing metadata integration criteria shields the metadata differences of multi-source and heterogeneous remote sensing data to achieve multi-source remote sensing elements.Data unified format conversion.Through the construction of middleware,transparent access,data cleaning,data sensing and data integration of massive heterogeneous data in distributed multi-satellite data centers are realized.Secondly,how to provide efficient and high-quality remote sensing data services,through the establishment of distributed retrieval services to achieve a large number of remote sensing metadata index,through the spatial index optimization to achieve rapid retrieval of remote sensing metadata,through the fast view visualization technology to achieve a good User interaction,to achieve hot data cache and personalized active data services.Finally,based on the above research,the data integration system is implemented,and the data integration system's efficiency for data integration in multi-satellite data centers is studied.Through continuous optimization and innovation,more efficient and high-quality data services are provided.