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The HDF Group
Exploiting HDF5 Technologies to Represent Geo-Information
An Example with Complex Terrain Data
September 28-30, 2010 HDF and HDF-EOS Workshop XIV 1
Peter Cao, Jacob Grubar, Mike FolkThe HDF Group
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Acknowledgment
This work was funded by
US Army Corps of Engineers, Engineering Research and Development Center (ERDC), BAA Contract No. W9132V-08-C-0028
Special thanks to John Nedza of ERDC-TEC, whose ideas are the basis for this work.
September 28-30, 2010 HDF and HDF-EOS Workshop XIV 2
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Goals of This Study
September 28-30, 2010 HDF and HDF-EOS Workshop XIV 3
• Explore a unified data model for information retrieval, visualization, and analysis
• Identify the role that HDF5 can play as a data management platform for Battlefield operations
• Demonstrate the use of web-based tools in combination with HDF5 to organize and work with a wide range of operational data
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The HDF Group
HDF5 Capabilities
September 28-30, 2010 HDF and HDF-EOS Workshop XIV 4
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Variety and Scale
Copyright © 2010 The HDF Group. All Rights Reserved
lat | lon | temp----|-----|----- 12 | 23 | 3.1 15 | 24 | 4.2 17 | 21 | 3.6Experiment Notes:
Serial Number: 99378920
Date: 3/13/09
Configuration: Standard 3
• Store almost any type of data • Physical terrain (grid, vector)• Human terrain (about people)• Multimedia (video, etc.)
• Scale efficiently• From low resolution images to
high resolution images
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Relationships
Copyright © 2010 The HDF Group. All Rights Reserved
lat | lon | temp----|-----|----- 12 | 23 | 3.1 15 | 24 | 4.2 17 | 21 | 3.6
/
SimOutCity A
Grouping, metadata, other features show relations
among data entities.
Parameters10;100;1000
Timestep36,000
www.hdfgroup.orgSeptember 28-30, 2010 HDF and HDF-EOS Workshop XIV 7
Demo
• Uses Qt user interface frameworkas a web-browser plugin
• Demo will focus on:• Heterogeneous Information Layers • Dynamic Data Management • Multidimensional Scales • Scalable Data Structures
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