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This presentation details the innovative transformation of the Geocomputational Battlespace Framework using HDF5, highlighting the collaborative efforts of John Nedza from the Army Geospatial Center, and Peter Cao from The HDF Group. The approach emphasizes the integration of large-scale data and dynamic modeling to enhance military decision-making processes. The work encompasses three phases, with the first phase completed and the second in progress, showcasing the potential of HDF5 in military applications and its relevance to earth science data.
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Transforming the Geocomputatinal BattlespaceFramework with HDF5 John Nedza, Army Geospatial Center Mike Folk, The HDF Group Peter Cao, The HDF Group The 13th HDF and HDF-EOS Workshop November 3-5, 2009 HDF/HDF-EOS Workshop XIII
BAA This work was funded by US Army Corps of Engineers, Engineering Research and Development Center (ERDC) – Army Geospatial Center (AGC) under BAA Contract HDF/HDF-EOS Workshop XIII
Data Challenges Military Decision Making Process (MDMP) Wide variety Large scale High efficiency Accuracy Time Satellite Buckeye Culture High res. Stream HDF/HDF-EOS Workshop XIII
From Data to Solution Construct Solution Space Models Information Terrain data Sensor data Imagery Culture/social assessments Correlate Complex Terrain Relations Knowledge Army doctrine Subject matter expertise Generate Smart Military Products Understanding User-client Dynamic effects Modeling/simulation Tradition approaches are insufficient to meet the requirements HDF/HDF-EOS Workshop XIII
New Approach: HDF5 • A unified data model to managing and processing data • Three phases of work • Phase1 (completed): research paper and initial prototype for testing the idea. • Phase 2 (in progress): prototype for spatiotemporal data model and dynamic data feed. Same approach can be applied to earth science data HDF/HDF-EOS Workshop XIII
Plug-in: Concept Map HDF/HDF-EOS Workshop XIII
Plug-in: External Links HDF/HDF-EOS Workshop XIII
Plug-in: Connect Data HDF/HDF-EOS Workshop XIII
Acknowledgements This work was sponsored by the US Army Corps of Engineers, Engineering Research and Development Center – Army Geospatial Center under BAA Contract Number W9132V-08-C-0028 Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author[s] and do not necessarily reflect the views of the National Aeronautics and Space Administration. HDF/HDF-EOS Workshop XIII