Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D PC Based GIS Tool for...
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Transcript of Hawaii Pacific GIS Conference 2012: Application Development - A Global 3D/4D PC Based GIS Tool for...
Duke Hartman Makai Ocean Engineering, Inc.
Global 3D/4D Visualization Software: Large GIS, Volumetric, & LiDAR Data
[email protected] • (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.
Common Operating Picture: advanced scientific visualization, GIS, and graphing, into common 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.
Multiple layers / fuse and analyze data Multi-variable data fusion & analysis
+
> 150 different formats
Global geo-referenced
Imagery & Terrain/Bathy
Dynamic geo-referenced
Iso-surfaces & Volumes
GIS (vector & raster data)
& KML Objects
+
Global Geo-referenced View
Images + Terrain + Volume + Flow + Time
Product Goals
What’s the problem? First off: what is “4D”?
3D volumetric data: x, y, z, with some
attribute (e.g., temperature, wind
speed, etc.)
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)
2D: Each pixel is a data sample
Who Cares? Anyone dealing with complex 3D &
GIS data. This includes:
Disaster Management
Ocean / Earth / Atmosphere Science
Geology / Mining / Oil & Gas
Environmental / Hydro Engineers
Military - Tactical Displays for
Situational Awareness
GIS Professionals with complicated 3D
problems … hopefully you!
2D: Each pixel is a data sample
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
Loaded
Data
Visualizations
3D View
Tools
Simulation Clock / Status bar
Navigation
Controls
Legends Mouse Coordinate
Drag-n-Drop
Interface
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
What type of data can it handle?
Web Map Services (WMS) WMS streaming over internet (OpenStreetMaps data)
US Navy ocean model - surface elevation data for ocean (with contours).
Tsunami, Hurricane, Earthquake, Flood, Fire Contamination Plume, etc.
Tsunami model shows actual surface elevation – plot intersection with terrain
for inundation analysis.
Disaster Modeling
Chile Tsunami, 2010
NOAA Tsunami Warning Center Data
Triple slice graphs for simultaneous graphing of all major axes of a data set
Measurement, probing, cropping, graphing, snapshot & movie export tools
Analysis Tools
Point clouds visualized using level-of-detail.
Photo colored points or height coloring.
Massive LiDAR
Data Fusion Georeferenced LiDAR city scan over WMS maps & terrain data
Hydro plume models such as outfalls, toxic waste, oil spills, etc.
Realistic KML geometries, bathymetry, etc. for context.
Hydrodynamic / Hydrological Plumes
NOAA NDBC weather station observational data viewed in same 3D platform.
Live streaming over the internet using WMS.
Real-time Streaming of Sensor Data
Program opens within web browser on low powered laptop, tablet (e.g. iPad)
Server renders 3D visualizations, then sends images to client app.
Web Application
• Legacy and real-time sensor data: (land, air,
underwater) in space & time in common view.
• Increase surveillance efficiency: reduce op manpower – consolidate 2D flat views in a true 3D/4D visual environment.
• 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
Sensors
Streamed
Processes, Integrates and
Visualizes Real-time Data
Public
Data
GIS
Situational
Awareness
For Field Units
3D
Viewer
Feed
back
Disaster Management
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
Tactical Display: Integration with P3
Integrated acoustic propagation algorithms w/ 4D environmental data. Application for ocean, but could easily be modified for land sound abatement analysis.
http://voyager.makai.com
Duke Hartman Makai Ocean Engineering, Inc.
Thank you! Questions?
[email protected] • (808) 259-8871
http://Voyager.Makai.com