Utilizing a discrete global grid system for handling point clouds with varying locations, times, and levels of detail

Neeraj Sirdeshmukh, Edward Verbree, Peter Van Oosterom, Stella Psomadaki, Martin Kodde

    Research output: Contribution to journalArticleScientificpeer-review

    4 Citations (Scopus)

    Abstract

    Discrete global grid systems (DGGSs) have emerged in recent years as a new specification for working with global heterogeneous data sets in a Digital Earth framework. Point clouds originating from different sources usually have varying initial characteristics. This research aims to analyze to what extent a DGGS can be used to handle point clouds having varying coordinate systems, acquired at different levels of detail (densities), and at different times in the creation of a global map of point clouds. DGGSs, which are currently limited to a 2D (surface) space, are extended into 3D and 4D spaces to fully harness the multidimensional nature of point clouds. A continuous spatial indexing strategy, based on a space-filling curve, is then developed on an ellipsoidal model of the Earth and used to efficiently cluster and retrieve DGGS-based point clouds stored in a database. Finally, the queried points are visualized in a Web browser. The hierarchical, multi-resolution nature of a DGGS is exploited to achieve a variable-scale smooth-zoom visualization. The challenges and opportunities of point cloud integration in a DGGS are presented.

    Original languageEnglish
    Pages (from-to)4-15
    Number of pages12
    JournalCartographica
    Volume54
    Issue number1
    DOIs
    Publication statusPublished - 2019

    Keywords

    • Database
    • DGGS
    • Indexing
    • Integration
    • LIDAR
    • Point cloud
    • Projection
    • Visualization

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