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Global 3D/4D Visualization Software:
   Large GIS, Volumetric, & LiDAR Data

                  Duke Hartman
                  Makai Ocean Engineering, Inc.




Duke.Hartman@Makai.com • (808) 259-8871 • http://Voyager.Makai.com
Who is Makai?
    • Located on Oahu, Hawaii
    • Est. 1973; ~29 persons
    • Specialties:
       – Submarine Cable
         Planning & Installation
       – OTEC / Deep Water Pipes
       – Deep Water Marine Design
       – Visualization Software




        OTEC                      Cable   Visualization
.
Makai Voyager Software
• Big goal: “Google Earth + Scientific Data”
• 3D/4D Scientific Visualization:
  – Volume, flow, LIDAR, graphing, analysis, etc. with GIS backdrop.

• Developed over last 5 years with funding from:
  – ONR (Office of Naval Research)
  – CEROS (National Defense Center of Excellence for Research in Ocean Sciences)
  – HTDV (Hawaii Technology Development Venture)

• Makai is starting to commercialize the software:
  – http://voyager.makai.com
  – Downloadable demo on Windows, Linux, Mac (150 Mb)
  – Stream data from Makai servers.
Product Goals
      Global geo-referenced                       Dynamic geo-referenced                          GIS (vector & raster data)
     Imagery & Terrain/Bathy                      Iso-surfaces & Volumes                                 & KML Objects


                                              +                                            +


    Multiple layers / fuse and analyze data       Multi-variable data fusion & analysis                   > 150 different formats



   Common Operating Picture: advanced scientific
    visualization, GIS, and graphing, into common view.
                                                                                      Global Geo-referenced View
   Speed: Operate on standard PC at interactive rates;
   Platform Independent: Windows, Linux, OSX;
   Large Data: Handle large volumetric grids (> 5123)
    with multiple variables and with potentially
    unlimited time-steps;
   Web-Enabled: Web-app for remote visualization.

                                                                                      Images + Terrain + Volume + Flow + Time
What’s the problem?
   First off: what is “4D”?
      3D volumetric data: x, y, z, with some
        attribute (e.g., temperature, wind
        speed, etc.)
                                                2D: Each pixel is a data sample
      4D = 3D + time
   Displaying 4D data can be
    challenging:
      Data and scene management
      Georeferencing
      Speed
   Status Quo? Volumetric data not
    handled adequately by:
      Leading interactive 3D imagery/terrain
        software (Google Earth)

      Leading GIS software (… you know
        who)
Who Cares?
   Anyone dealing with complex 3D &
    GIS data. This includes:
      Disaster Management
      Ocean / Earth / Atmosphere Science      2D: Each pixel is a data sample
      Geology / Mining / Oil & Gas
      Environmental / Hydro Engineers
      Military - Tactical Displays for
        Situational Awareness
      GIS Professionals with complicated 3D
        problems … hopefully you!
Technical Challenge
   Understanding large 4D data sets
   Traditionally visualized using single 2D layers
   Images & terrain are associated with pixels (X, Y
    → elevation/color) – i.e., 2D images
   4D data are associated with voxels (X, Y, Z, time
    → multiple variables)

                                                        2D VIEWS




                                                        3D VIEWS
Render, faster, better:




   Interactivity is achieved for very large data using:
      Data tiling for time-varying 2D and 3D data (similar to what GE does for terrain);
      Efficient compression algorithms;
      Accelerated GPU rendering; and,
      Multi-threading capabilities of modern processors.
Makai Voyager Main Screen
                        Tools


 Drag-n-Drop                                     Navigation
  Interface                                       Controls
      Loaded
        Data




                   3D View

Visualizations




                 Legends                             Mouse Coordinate



                     Simulation Clock / Status bar
What type of data can it handle?
  Imagery
  Terrain (Topos & Bathymetry)
  3D Objects
  LiDAR
  Typical GIS formats (150+)
  Web Maps
  Volumetric, iso-surface & time varying data
  Real-time streaming sensor & GPS data
Web Map Services (WMS)
    WMS streaming over internet (OpenStreetMaps data)
    US Navy ocean model - surface elevation data for ocean (with contours).
Disaster Modeling
    Tsunami, Hurricane, Earthquake, Flood, Fire Contamination Plume, etc.
    Tsunami model shows actual surface elevation – plot intersection with terrain
     for inundation analysis.




                                                           Chile Tsunami, 2010
                                              NOAA Tsunami Warning Center Data
Analysis Tools
    Triple slice graphs for simultaneous graphing of all major axes of a data set
    Measurement, probing, cropping, graphing, snapshot & movie export tools
Massive LiDAR
    Point clouds visualized using level-of-detail.
    Photo colored points or height coloring.
Data Fusion
    Georeferenced LiDAR city scan over WMS maps & terrain data
Hydrodynamic / Hydrological Plumes
    Hydro plume models such as outfalls, toxic waste, oil spills, etc.
    Realistic KML geometries, bathymetry, etc. for context.
Real-time Streaming of Sensor Data
    NOAA NDBC weather station observational data viewed in same 3D platform.
    Live streaming over the internet using WMS.
Web Application
    Program opens within web browser on low powered laptop, tablet (e.g. iPad)
    Server renders 3D visualizations, then sends images to client app.
Disaster Management
                                                                             Processes, Integrates and
                                                                             Visualizes Real-time Data
                         Sensors


                         Public
                         Data         Streamed

                         GIS

•   Legacy and real-time sensor data: (land, air,
    underwater) in space & time in common view.
                                                             Situational




                                                                                                     Feedback
•   Increase surveillance efficiency: reduce op                                  3D
    manpower – consolidate 2D flat views in a true 3D/4D    Awareness          Viewer
    visual environment.                                    For Field Units
•   Data fusion from multi-sources: reducing
    decision-making and response time.
•   Open architecture: can be expanded and
    customized easily.
•   Simulation: threat situations for training of
    emergency responders
Tactical Display: Integration with P3
    Anti-submarine warfare: In summer/fall 2010 Makai worked with Lockheed to
     integrate 4D Visualization technology in the acoustic subsystem for the P3-C
     Orion aircraft
Integrated acoustic propagation algorithms w/ 4D environmental data.
Application for ocean, but could easily be modified for land sound abatement analysis.
Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D PC Based GIS Tool for Interactively Visualizing and Fusing Large Time-Varying Volumetric, Elevation, Imagery, and LiDAR Data Sets
http://voyager.makai.com
Thank you!
                  Questions?

            Duke Hartman
            Makai Ocean Engineering, Inc.




Duke.Hartman@Makai.com • (808) 259-8871
http://Voyager.Makai.com

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Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D PC Based GIS Tool for Interactively Visualizing and Fusing Large Time-Varying Volumetric, Elevation, Imagery, and LiDAR Data Sets

  • 1. Global 3D/4D Visualization Software: Large GIS, Volumetric, & LiDAR Data Duke Hartman Makai Ocean Engineering, Inc. Duke.Hartman@Makai.com • (808) 259-8871 • http://Voyager.Makai.com
  • 2. Who is Makai? • Located on Oahu, Hawaii • Est. 1973; ~29 persons • Specialties: – Submarine Cable Planning & Installation – OTEC / Deep Water Pipes – Deep Water Marine Design – Visualization Software OTEC Cable Visualization .
  • 3. Makai Voyager Software • Big goal: “Google Earth + Scientific Data” • 3D/4D Scientific Visualization: – Volume, flow, LIDAR, graphing, analysis, etc. with GIS backdrop. • Developed over last 5 years with funding from: – ONR (Office of Naval Research) – CEROS (National Defense Center of Excellence for Research in Ocean Sciences) – HTDV (Hawaii Technology Development Venture) • Makai is starting to commercialize the software: – http://voyager.makai.com – Downloadable demo on Windows, Linux, Mac (150 Mb) – Stream data from Makai servers.
  • 4. Product Goals Global geo-referenced Dynamic geo-referenced GIS (vector & raster data) Imagery & Terrain/Bathy Iso-surfaces & Volumes & KML Objects + + Multiple layers / fuse and analyze data Multi-variable data fusion & analysis > 150 different formats  Common Operating Picture: advanced scientific visualization, GIS, and graphing, into common view. Global Geo-referenced View  Speed: Operate on standard PC at interactive rates;  Platform Independent: Windows, Linux, OSX;  Large Data: Handle large volumetric grids (> 5123) with multiple variables and with potentially unlimited time-steps;  Web-Enabled: Web-app for remote visualization. Images + Terrain + Volume + Flow + Time
  • 5. What’s the problem?  First off: what is “4D”?  3D volumetric data: x, y, z, with some attribute (e.g., temperature, wind speed, etc.) 2D: Each pixel is a data sample  4D = 3D + time  Displaying 4D data can be challenging:  Data and scene management  Georeferencing  Speed  Status Quo? Volumetric data not handled adequately by:  Leading interactive 3D imagery/terrain software (Google Earth)  Leading GIS software (… you know who)
  • 6. Who Cares?  Anyone dealing with complex 3D & GIS data. This includes:  Disaster Management  Ocean / Earth / Atmosphere Science 2D: Each pixel is a data sample  Geology / Mining / Oil & Gas  Environmental / Hydro Engineers  Military - Tactical Displays for Situational Awareness  GIS Professionals with complicated 3D problems … hopefully you!
  • 7. Technical Challenge  Understanding large 4D data sets  Traditionally visualized using single 2D layers  Images & terrain are associated with pixels (X, Y → elevation/color) – i.e., 2D images  4D data are associated with voxels (X, Y, Z, time → multiple variables) 2D VIEWS 3D VIEWS
  • 8. Render, faster, better:  Interactivity is achieved for very large data using:  Data tiling for time-varying 2D and 3D data (similar to what GE does for terrain);  Efficient compression algorithms;  Accelerated GPU rendering; and,  Multi-threading capabilities of modern processors.
  • 9. Makai Voyager Main Screen Tools Drag-n-Drop Navigation Interface Controls Loaded Data 3D View Visualizations Legends Mouse Coordinate Simulation Clock / Status bar
  • 10. What type of data can it handle?  Imagery  Terrain (Topos & Bathymetry)  3D Objects  LiDAR  Typical GIS formats (150+)  Web Maps  Volumetric, iso-surface & time varying data  Real-time streaming sensor & GPS data
  • 11. Web Map Services (WMS)  WMS streaming over internet (OpenStreetMaps data)  US Navy ocean model - surface elevation data for ocean (with contours).
  • 12. Disaster Modeling  Tsunami, Hurricane, Earthquake, Flood, Fire Contamination Plume, etc.  Tsunami model shows actual surface elevation – plot intersection with terrain for inundation analysis. Chile Tsunami, 2010 NOAA Tsunami Warning Center Data
  • 13. Analysis Tools  Triple slice graphs for simultaneous graphing of all major axes of a data set  Measurement, probing, cropping, graphing, snapshot & movie export tools
  • 14. Massive LiDAR  Point clouds visualized using level-of-detail.  Photo colored points or height coloring.
  • 15. Data Fusion  Georeferenced LiDAR city scan over WMS maps & terrain data
  • 16. Hydrodynamic / Hydrological Plumes  Hydro plume models such as outfalls, toxic waste, oil spills, etc.  Realistic KML geometries, bathymetry, etc. for context.
  • 17. Real-time Streaming of Sensor Data  NOAA NDBC weather station observational data viewed in same 3D platform.  Live streaming over the internet using WMS.
  • 18. Web Application  Program opens within web browser on low powered laptop, tablet (e.g. iPad)  Server renders 3D visualizations, then sends images to client app.
  • 19. Disaster Management Processes, Integrates and Visualizes Real-time Data Sensors Public Data Streamed GIS • Legacy and real-time sensor data: (land, air, underwater) in space & time in common view. Situational Feedback • Increase surveillance efficiency: reduce op 3D manpower – consolidate 2D flat views in a true 3D/4D Awareness Viewer visual environment. For Field Units • Data fusion from multi-sources: reducing decision-making and response time. • Open architecture: can be expanded and customized easily. • Simulation: threat situations for training of emergency responders
  • 20. Tactical Display: Integration with P3  Anti-submarine warfare: In summer/fall 2010 Makai worked with Lockheed to integrate 4D Visualization technology in the acoustic subsystem for the P3-C Orion aircraft
  • 21. Integrated acoustic propagation algorithms w/ 4D environmental data. Application for ocean, but could easily be modified for land sound abatement analysis.
  • 24. Thank you! Questions? Duke Hartman Makai Ocean Engineering, Inc. Duke.Hartman@Makai.com • (808) 259-8871 http://Voyager.Makai.com