全球遥感数据剖分组织的GeoSOT网格应用

针对目前不同部门按自身行业特点采用不同数据网格的问题，为了寻求更适合与现有测绘数据组织体系兼容的遥感数据组织网格，本文分析了Worldwind、Google Earth、Google Maps、Bing Maps、天地图、GeoSOT网格和国家地形图图幅等数据网格，理论证明了GeoSOT网格与国家地形图图幅和其他网格具有很好的同构性，有利于与传统测绘数据的继承，适合作为全球遥感数据统一组织与管理网格。同时，在不改变现有数据组织体系的前提下，提出了基于GeoSOT全球遥感数据“虚拟一张网”的数据组织模型和数据整合方法。最后通过试验证明，基于GeoSOT遥感影像“虚拟一张网”的数据组织可有效提高遥感数据整合效率。

Global Remote Sensing Data Subdivision Organization Based on GeoSOT

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.