Acta Geodaetica et Cartographica Sinica ›› 2016, Vol. 45 ›› Issue (S1): 115-120.doi: 10.11947/j.AGCS.2016.F014

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Geospatial Information Service System Based on GeoSOT Grid & Encoding

LI Shizhong1, CHENG Chengqi2, WANG Dong3, PU Guoliang2, CHEN Bo2   

  1. 1. TH Center of China, Beijing 102102, China;
    2. College of Engineering, Peking University, Beijing 100871, China;
    3. School of Information Engineering, Xizang Minzu University, Xianyang, 712028, China
  • Received:2016-08-20 Revised:2016-10-20 Online:2016-12-31 Published:2017-03-29
  • Supported by:
    The National Special Major for High Resolution Earth Observation Syetem (30-Y30B13-9003-14/16;03-Y30B06-9001-13/15);The Special Fund for Surveying, Mapping and Geoinformation Research in the Public Interest(201512020)

Abstract: With the rapid development of the space and earth observation technology, it is important to establish a multi-source, multi-scale and unified cross-platform reference for global data. In practice, the production and maintenance of geospatial data are scattered in different units, and the standard of the data grid varies between departments and systems. All these bring out the disunity of standards among different historical periods or orgnizations. Aiming at geospatial information security library for the national high resolution earth observation, there are some demands for global display, associated retrieval and template applications and other integrated services for geospatial data. Based on GeoSOT grid and encoding theory system, "geospatial information security library information of globally unified grid encoding management" data subdivision organization solutions have been proposed; system-level analyses, researches and designs have been carried out. The experimental results show that the data organization and management method based on GeoSOT can significantly improve the overall efficiency of the geospatial information security service system.

Key words: geospatial information, GeoSOT grid, grid encoding, multi-source data association, multiscale data

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