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GeoScope: Full 3D geospatial information system case study


Aiming at the integrative management and comprehensive applications of large-scale 3D geospatial information covering the full 3D space of a city, this paper briefly introduces the design and implementation of a full 3D GIS platform: GeoScope, which provides a professional solution for the massive full three-dimensional geospatial data integration, management, analysis, visualization, and applications. GeoScope is characterized by: (1) extendible software architecture based on the hierarchical message bus, facilitates multimodal integrative applications of 2D GIS and 3D GIS; (2) unified 3D city models, support multiscale semantic representation of outdoor & indoor and aboveground & underground 3D objects; (3) high-efficient 3D geospatial database engine, supports integrated management of massive 3D geospatial data for real-time applications; and (4) high-performance visualization engine exploiting the massively parallel computation architecture of modern GPUs, supports real-time realistic rendering of large-scale complicated 3D geospatial environments. The successful pilot application of GeoScope is also illustrated with the 3D city models of 8494 km2 of the whole Wuhan City, the largest city in middle China.

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Correspondence to Yeting Zhang.

Additional information

Supported by the National High Technology Research and Development Program of China (863 Program) (No. 2008AA121600); the National Basic Research Program of China (973 Program)( No. 2010CB731801); the National Natural Science Foundation of China (No. 40871212).

ZHANG Yeting received his Ph.D. degree in photogrammetry and remote sensing from Wuhan University, Wuhan, China in 2008. His main research interests are spatial database technology, 3D GIS and virtual geographic environments.

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Zhang, Y., Zhu, Q., Liu, G. et al. GeoScope: Full 3D geospatial information system case study. Geo-spat. Inf. Sci. 14, 150 (2011).

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  • 3D geospatial information system
  • 3D city models
  • database engine
  • visual analysis
  • levels of detail
  • semantic relationship

CLC number

  • P208