The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XL-4/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 63–69, 2013
https://doi.org/10.5194/isprsarchives-XL-4-W2-63-2013
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-4/W2, 63–69, 2013
https://doi.org/10.5194/isprsarchives-XL-4-W2-63-2013

  25 Oct 2013

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 Y. Z. Yang et al.
  • 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.