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Exploiting HDF5 Technologies to Represent Geo-Information

This paper, presented at the HDF and HDF-EOS Workshop XIV, explores a unified data model for information retrieval, visualization, and analysis, particularly focusing on how HDF5 can serve as a powerful data management platform for battlefield operations. The study demonstrates the use of web-based tools alongside HDF5 to organize various operational data, including physical and human terrain. We showcase capabilities of HDF5 to store diverse data types and manage them efficiently across multiple scales, enhancing decision-making in complex scenarios.

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Exploiting HDF5 Technologies to Represent Geo-Information

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  1. Exploiting HDF5 Technologies to Represent Geo-Information Peter Cao, Jacob Grubar, Mike Folk The HDF Group An Example with Complex Terrain Data HDF and HDF-EOS Workshop XIV

  2. 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. HDF and HDF-EOS Workshop XIV

  3. Goals of This Study • 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 HDF and HDF-EOS Workshop XIV

  4. HDF5 Capabilities HDF and HDF-EOS Workshop XIV

  5. Variety and Scale lat | lon | temp ----|-----|----- 12 | 23 | 3.1 15 | 24 | 4.2 17 | 21 | 3.6 • 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 Experiment Notes: Serial Number: 99378920 Date: 3/13/09 Configuration: Standard 3

  6. Relationships Grouping, metadata, other features show relations among data entities. / SimOut Parameters 10;100;1000 Timestep 36,000 City A lat | lon | temp ----|-----|----- 12 | 23 | 3.1 15 | 24 | 4.2 17 | 21 | 3.6

  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 HDF and HDF-EOS Workshop XIV

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