Research on Distributed Sharing of Polar Sea Ice-Ocean Parameters Remote Sensing Inversion Models

  • 1. China University of Petroleum, Qingdao 266580, China;
    2. State Key Laboratory of Resources and Environment Information System, IGSNRR, CAS, Beijing 100101, China;
    3. National Marine Environment Forecasting CenterBeijing 100081, China

Received date: 2012-08-02

  Revised date: 2012-12-21

  Online published: 2013-04-18


Traditional single computing environment cannot meet the needs of geographic model sharing, because of its limitations on storage, computing resources and program transfer. Distributed geospatial model sharing could avoid those limitations, so distributed sharing architecture of remote sensing inversion models for polar sea ice-ocean parameters is brought forward based on SOA construction and OGC specifications, which can provide the overall framework and the top-level guidance for studying the key technologies of polar sea ice-ocean parameters remote sensing inversion model service composition and constructing specific composition applications. The distributed sharing architecture focuses on the model services. Detail discussion is carried out on model service interface and interoperation problems related to model services. The polar sea ice-ocean param-eters remote sensing inversion model sharing services platform is designed and developed to help implementing polar sea ice-ocean parameters remote sensing inversion model sharing. In this paper, we analyzed the design guidelines of polar sea ice-ocean parameters remote sensing inversion model sharing service platform, and further studied the key technologies involved in the polar sea ice-ocean parameters remote sensing inversion model sharing service platform. The sharing platform is the connector of model and the clients, and can realize the data conversion and function collaborative. With the help of the sharing platform, model developer could only focus on model algorithm, and the sharing platform will take care of building model service, and interacting with model clients. Several models are adapted, including sea ice concentration remote sensing inversion model and polynya morphologic remote sensing inversion model, to demonstrate the advantages of distributed sharing architecture of polar sea ice-ocean parameters remote sensing inversion models.

Cite this article

HE E-Wen, YANG Xiao-Mei, DU Yun-Yan, SUN Xiao-Yu . Research on Distributed Sharing of Polar Sea Ice-Ocean Parameters Remote Sensing Inversion Models[J]. Journal of Geo-information Science, 2013 , 15(2) : 209 -216 . DOI: 10.3724/SP.J.1047.2013.00209


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