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  • 标题:Managing the Global Dataset in Block-index based on ESSG
  • 本地全文:下载
  • 作者:Y. Z. Yang ; L. X. Wu ; J. Q. Yu
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2013
  • 卷号:XL-4/W2
  • 页码:63-69
  • DOI:10.5194/isprsarchives-XL-4-W2-63-2013
  • 出版社:Copernicus Publications
  • 摘要:Earth observation system, which can realize global coverage in three dimensions, has provided massive data from earth observations at global scale for Earth System Science (ESS) and global change researches. It is named SDOG-based ESSG that the Spheroid Degenerated Octree Grid (SDOG) was chosen as an initial grid to develop an Earth System Spatial Grid (ESSG), which provides storage strategy and management framework based on triple (C, T, A) and SDOG grid coding for massive data. The objection of this paper is to provide an effective spatial data organization and indexing method, which organizes triple units into block and encodes for each triples block and converts multi-source global scale datasets into triples block so as to manage massive raster data at global scale
  • 关键词:SDOG; ESSG; Global Scale; Raster Data
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