Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 63-69, 2013
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-4-W2/63/2013/
doi:10.5194/isprsarchives-XL-4-W2-63-2013
© Author(s) 2013. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
25 Oct 2013
Managing the Global Dataset in Block-index based on ESSG
Y. Z. Yang1, L. X. Wu1,2,3, and J. Q. Yu2 1Institute of Geo-informatics & Digital Mine Research, Northeastern University, Shenyang, China
2School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
3Academemy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing, China
Keywords: SDOG, ESSG, Global Scale, Raster Data Abstract. 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.
Conference paper (PDF, 803 KB)


Citation: Yang, Y. Z., Wu, L. X., and Yu, J. Q.: Managing the Global Dataset in Block-index based on ESSG, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 63-69, doi:10.5194/isprsarchives-XL-4-W2-63-2013, 2013.

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