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X3D-Earth: Full Globe Coverage Utilizing Multiple Datasets Dale R. Tourtelotte LT, USN

X3D-Earth: Full Globe Coverage Utilizing Multiple Datasets Dale R. Tourtelotte LT, USN. X3D-Earth. All the benefits of X3D: Open ISO Specification Choice of implementations and tools Scripting capabilities Powerful browsers Geospatial accuracy (WGS84, UTM, etc.)

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X3D-Earth: Full Globe Coverage Utilizing Multiple Datasets Dale R. Tourtelotte LT, USN

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  1. X3D-Earth: Full Globe Coverage Utilizing Multiple Datasets Dale R. Tourtelotte LT, USN

  2. X3D-Earth • All the benefits of X3D: • Open ISO Specification • Choice of implementations and tools • Scripting capabilities • Powerful browsers • Geospatial accuracy (WGS84, UTM, etc.) • True mapping of 3D Geospatial coordinates to X3D’s Cartesian X, Y, Z coordinates

  3. Dr. Chris Thorne and Rez • “Open source framework and tools for translating gridded data, mainly geospatial, to different formats including images and multiresolution models for X3D or VRML web browsing” • Java program with multiple input/output plugins • Can be executed using a GUI or command line

  4. Rez (cont.) • Inputs • DTED • ASCII Grid • XYZ • DEM • GeoVRML Elevation Grid • Outputs • X3D • VRML • Contoured Jpg • Grey Scale Jpg

  5. Dr. Yoo and X3D-Earth • Terrain Tile Production Chain • Developed a method for generating X3D-Earth scenes from freely available sources • Uses a commercial software, GlobalMapper, to retrieve and convert the data • Uses an opensource software, Rez, to parse data and generate X3D-Earth Terrain Tile pyramids and Imagery Pyramids

  6. Terrain Tile Production Chain

  7. Dr. Yoo (cont.) • Low Resolution Globes • He used the Terrain Tile Production Chain method to generate Low Resolution Globes

  8. My Background • Surface Warfare Officer • Last Job – Navigator on DDG in Norfolk, VA • Deployments – Navigated into 18 Foreign Ports, 5 major Strait transits, and over 25,000 Nautical Miles • Needed a 3D tool for entering/exiting Foreign Ports

  9. California Demo Terrain – DTED Level 0 – 1km resolution • Input • Files = 111 .dt0 files • Size ≈ 4MB • Output • Files = 37851 .x3d files • Size ≈ 65MB

  10. California Demo Imagery – NaturalVue 15m resolution • Input • Files = 111 .dt0 files • Size ≈ 2700MB • Output • Files = 37851 .jpg files • Size ≈ 2600MB

  11. Globe Terrain – DTED Level 0 – 1km resolution • Input • Files = 25,594 .dt0 files • Size ≈ 1.6GB • Output • Files = 8,727,554 .x3d files • Size ≈ 34GB

  12. Globe Imagery – NaturalVue 15m resolution • Input • Files = 3075 GeoTiff files • Size ≈ 3.4TB ≈ 218GB as .jpg • Output • Files = 6,046,953 .jpg files • Size ≈ 342GB

  13. Pitfalls and Lessons Learned • Choice of Image Formats • Two Formats received from NGA • JPEG-2000 – Limited support in Java • GeoTIFF – Not supported by Rez ImageSlicer • Use of Java to manipulate Image files • Out of Memory Issues • Capability Gap of Rez • Initial Tests and Included Examples “proved” the capability • Unknown limitations of Hamming Supercomputer • Maximum number of files for a File System

  14. Other Demos • MV4205 Project • MV3204 Project • Questions?? • http://www.web3d.org/x3d-earth/ • http://x3d-earth.nps.edu/ • Dale R. Tourtelotte • drtourte@nps.edu

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