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2. Point Cloud

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USGS Coastal & Marine 2. ... Fault West Rainier Seismic Zone E ... LiDAR Initiative Rough calculation using a NASA high elevation acquisition ... – PowerPoint PPT presentation

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Title: 2. Point Cloud


1
Complete LiDAR Workflow
1. Survey
3. Interpolate / Grid
USGS Coastal Marine
2. Point Cloud x, y, z,
4. Analyze / Do Science
2
The Challenge of Community LiDAR data
LiDAR coverage of the southern San Andreas and
San Jacinto faults
- 3.7 billion LiDAR returns, 1.9 TB - Very
high-res., supports 25-50 cm DEMs
3
The Challenge of Community LiDAR data cont.
  • National LiDAR Initiative
  • Rough calculation using a NASA high
  • elevation acquisition approach
  • Land area of US 9,161,923 sq km
  • Assuming
  • 2 laser pulses per sq meter
  • an average of 1.5 returns per pulse
  • 35 data bytes per return
  • 1 x 10
  • 15 bytes of point cloud data
  • 1 petabyte (1,000 terabytes)

For comparison, that is 3 times more data than
produced by all the instruments combined on
NASAs flagship Earth Observing System Satellite,
Terra (ASTER, MODIS etc.) , over the course of a
full year.
Stoker et al., 2007, Report of the First National
Lidar Initiative Meeting, February 14-16, 2007,
Reston, Va., U.S.G.S. Open File Report,
2007-1189.
4
  • Multi-institution collaboration between IT and
    Earth Science researchers
  • Funded by NSF large ITR program
  • GEON Cyberinfrastructure provides
  • Authenticated access to data and Web services
  • Registration of data sets and tools, with
    metadata
  • Search for data, tools, and services, using
    ontologies
  • GEON was designed as an equal collaboration
    between Information Technology (IT) and
    Geoscience researchers, with the goal of
    developing an enabling IT platform to facilitate
    the next generation of Geoscience research.
  • Scientific workflow environment
  • Data and map integration capability
  • - Visualization and GIS mapping

Distributed Network
GEON / ASU node
5
The Vision
Conceptual GEON LiDAR Workflow
  • Utilize cyberinfrastructure developed by GEON to
    offer online data distribution, DEM generation,
    and analysis of large LiDAR datasets.
  • Completely internet-based workflow
  • Point cloud to visualization
  • Utilize modular web services to complete a
    variety of processing and analysis tasks.
  • Offer users control of processing and analysis
    parameters.

6
GEON LiDAR Workflow Architecture
7
Current GLW Status
Source
  • Datasets online
  • Northern San Andreas Fault
  • West Rainier Seismic Zone
  • E. California Shear Zone (Mike Oskin, UNC, PI)
  • 4. Full B4 Dataset (Southern SAF and SJF)
  • Total of 6.4 billion LiDAR returns available
    via GLW
  • Use Statistics
  • 43 billion returns processed
  • 2103 unique jobs submitted
  • 118 registered GLW users

8
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9
A cyberinfrastructure-based model for integrated
access to community LiDAR datasets
10
Where to find LiDAROnline Data Resources
11
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17
http//lidar.asu.edu/points2grid.html
18
http//lidar.asu.edu/LViz.html
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