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.
程滔. 大数据时代遥感数据管理与服务模式探索[J]. 国土资源遥感, 2016, 28(4): 202-206.
CHENG Tao. Exploring management and service mode for remote sensing data in big data era. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(4): 202-206.
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2016, Vol. 28 
