大数据时代遥感数据管理与服务模式探索

Exploring management and service mode for remote sensing data in big data era

通过分析现有海量遥感数据管理与服务模式的特点与局限性,探索并提出了面向大数据时代的新服务模式。以截至2011年底我国国家基础航空摄影项目获取的全国卫星遥感数据为研究实例,基于空间叠置分析和统计计算,衍生出一种新的服务产品,用来表达各区域遥感数据覆盖频次与分布状态,为用户提供更深层次的服务。研究表明,该模式有利于研究人员在大数据时代下,掌握遥感数据覆盖的综合情况,根据实际需求快速获取遥感数据,提高遥感数据检索和获取效率,提升海量遥感数据管理与服务水平。

A new service mode is explored and proposed oriented to big data era on the basis of analyzing the limitations of the existing massive remote sensing data＇ s management and service mode. It takes national satellite remote sensing data acquired in the project of national basic aerial photography until the end of 2011 as the research example. Based on spatial overlap analyzing and statistical calculating, a new derivative product is made, which can reveal covering frequency and distribution of remote sensing data and provide a further service for users. The results show that the proposed service explores efficient mode and has the potential to help researchers to grasp comprehensive covering status of remote sensing data under the situation of big data era. Based on the spatial analyzing results, users＇ requirements and submitting orders could be confirmed rapidly, which improves the retrieval and access efficiency and raises the management and service level of massive remote sensing data.