Global Remote Sensing Data Subdivision Organization Based on GeoSOT
Song Shu-hu · Acta Geodaetica et Cartographica Sinica · 2014
At present,there are various data grids to organize data in different department data centers.In order to seek a remote sensing image data organization grid,which is compatible with the existing surveying and mapping data,a scheme of remote sensing data organization based on GeoSOT,geographical coordinate subdividing grid with one dimension integer coding on 2n-tree,is proposed.it theoretically proves that GeoSOT has good isomorphism with National Topographic Map and other grids,such as Worldwind,Google Earth,Google Maps,Bing Maps and Mapworld,which makes GeoSOT grid inherit easily traditional surveying and mapping data and organize global remote sensing data.Under the premise of keeping the existing data organization,a virtual one global grid for global remote sensing data organization based on GeoSOT and a method of fast generating specification data products by GeoSOT cells aggregation are introduced.The test shows that it is very significantly to prove data integration efficiency with the virtual one global grid for global remote sensing data organization based on GeoSOT.