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The GEON LiDAR Workflow: CyberinfrastructureBased Data Distribution and Processing

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Title: The GEON LiDAR Workflow: CyberinfrastructureBased Data Distribution and Processing


1
The GEON LiDAR WorkflowCyberinfrastructure-Based
Data Distribution and Processing
  • Christopher J. Crosby, J Ramón Arrowsmith
  • Jeffrey Connor, Newton Alex
  • Efrat Jaeger-Frank, Vishu Nandigam,
  • Ashraf Memon, Chaitan Baru
  • Han S. Kim

GEON Cyberinfrastructure Summer Institute for
Geoscientists August 15, 2007
2
LiDAR (LIght Detection And Ranging) a.k.a ALSM
(Airborne Laser Swath Mapping)
  • Airborne pulsed laser scanning system
    differential GPS inertial measurement unit
    (IMU)
  • 30,000 points/second
  • Ground sampled at multiple points/sq. meter
  • 15 cm vertical accuracy
  • 300 - 500 per sq. km acquisition cost

http//coastal.er.usgs.gov/hurricanes/mappingchang
e/
3
LiDAR point cloud
  • x,y,z attributes
  • Filtering algorithms allow classification by
    return type
  • Ground, vegetation, building

4
  • Geomorphic studies
  • Landscape response to tectonics
  • Landslide and hillslope processes
  • Natural hazards
  • Flood inundation mapping (FEMA Map Modernization)

Ecology and Forestry - Canopy and biomass
characterization
Engineering Applications
5
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
6
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.
7
Complete LiDAR Workflow
1. Survey
3. Interpolate / Grid
USGS Coastal Marine
2. Point Cloud x, y, z,
4. Analyze / Do Science
8
  • 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
9
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.

10
Current GLW features
  • Interactive polygon data selection via WMS map
  • Attribute selection (ground returns, vegetation
    returns)
  • Rapid estimate of points within selection area
  • Point cloud download
  • DEM generation via two pathways
  • local binning algorithm
  • Spline interpolation algorithm (GRASS GIS web
    service)
  • User defined grid resolution and processing
    parameters
  • Products produced in multiple, user-defined,
    file formats
  • User provided job title and description
  • Dynamically generated and customized metadata
    file
  • Email notification

11
Pt. Density
IDW DEM
12
Implementation Overview
  • Spatial databases IBM DB2 on DataStar _at_ SDSC
  • GRASS Open Source GIS
  • Spline interpolation derivative products,
    format conversions
  • Custom local binning algorithm for DEM generation
  • Kepler Workflow Manager
  • Integration of heterogeneous local and remote
    tools
  • Job submission and monitoring
  • Error tracking and failure recovery

13
GEON LiDAR Workflow Architecture
14
(No Transcript)
15
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
  • 42.2 billion returns processed
  • 1953 unique jobs submitted
  • 111 registered GLW users

16
A cyberinfrastructure-based model for integrated
access to community LiDAR datasets
17
Implications
  • GLW will be distribution pathway for forthcoming
    GeoEarthscope LiDAR datasets
  • 5 more B4-style data acquisitions in next 2 years.
  • GLW is a proof of concept for utilization of
    cyberinfrastructure to democratize access to the
    next generation of community geoscience datasets
    and processing tools.
  • Generic and scaleable GEON architecture
    applicable to numerous (geo) science datasets.
  • Architecture enables integration of
    non-centralized datasets and processing
    resources.

18
Moving Forward Integrated Imagery and topography
data stack for earth systems research
  • Increasingly common for users to integrate
    various resolution DEMs and remotely sensed
    imagery to study landscape and geology at various
    spatial scales.
  • Datasets
  • Landsat, ASTER, DOQQs, Aerial Photography etc.
  • NED SRTM 90, 30, 10m Aerial and terrestrial
    LiDAR datasets

19
Moving Forward Application of Cyberinfrastructure
to Remotely Sensed Data (in GEON 2.0)
  • Structural and spatial integration of
    heterogeneous datasets from various sources
  • Geographic and organizationally distributed hosts
  • Various data organization schemes, file formats
    and access protocols
  • Perform standard processing operations (i.e.,
    spectral band combinations for common products
    (RGB, NDVI etc.)), or generate a DEM and its
    derivatives.
  • Spatially operate (subset, mosaic, merge,
    project, etc.), reformat, visualize, archive,
    share, and download, all the while producing
    updated accompanying metadata.

20
GEON LiDAR Workflow Access Instructions http//po
rtal.geongrid.org/lidar More Information http/
/lidar.asu.edu/ Contact chris.crosby_at_asu.edu
21
http//lidar.asu.edu/LViz.html
22
http//lidar.asu.edu/points2grid.html
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