Global Remote Sensing Data Subdivision Organization Grid

Abstract

Abstract:

At present, there are various data grids to organize data in different department data centers. In order to seek a compatible with the existing surveying and mapping data and more suitable for remote sensing image data organization grid, this paper analyses some grids, such as Worldwind, Google Earth, Google Maps, Bing Maps, Mapworld, GeoSOT (Geographical coordinate Subdividing grid with One dimension integer coding on 2n-Tree) and subdivision and numbering for the national primary scale topographic maps, and so on. It theoretical proves that GeoSOT has good isomorphism with National Topographic Map and other above grids. Because of the advantages, GeoSOT grid is more conducive to traditional surveying and mapping data inheritance and is suitable to organize global remote sensing data. So, under the premise of keeping the existing data organization, this paper puts forward a virtual one global grid for global remote sensing data organization based on GeoSOT. It also proposes specification data products fast generating method by GeoSOT cells aggregation. At last, test shows that it is very significant to prove data integration efficiency with the virtual one global grid for global remote sensing data organization based on GeoSOT.

Key words: GeoSOT, subdivision cell, logical subdivision, virtual one global grid, isomorphism

CLC Number:

P208

References

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