Enabling Access to HighResolution LiDAR Topography through CyberinfrastructureBased Data Distributio

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Enabling Access to High-Resolution LiDAR
Topography through Cyberinfrastructure-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

AAG session 4438 Distributed Geospatial
Processing Spatial Web Portal April 20, 2007
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LiDAR (LIght Detection And Ranging) a.k.a ALSM
(Airborne Laser Swath Mapping)

• Airborne pulsed laser scanning system
  differential GPS inertial measurement unit
  (IMU)
• gt 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/
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Complete LiDAR Workflow
1. Survey
3. Interpolate / Grid
USGS Coastal Marine
2. Point Cloud x, y, z,
4. Analyze / Do Science
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The Challenge of Community LiDAR data
LiDAR coverage of the southern San Andreas and
San Jacinto faults
- 3.7 billion LiDAR returns - Very high-res.,
supports 25-50 cm DEMs
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• 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
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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.

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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

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Pt. Density
IDW DEM
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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

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Implementation Overview
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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
• 11.6 billion returns processed
• 1020 unique jobs submitted
• 126 registered GLW users

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A cyberinfrastructure-based model for integrated
access to community LiDAR datasets
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Implications

• 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.

• GLW will be distribution pathway for forthcoming
  GeoEarthscope LiDAR datasets
• 5 more B4-style data acquisitions in next 2 years.

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GEON LiDAR Workflow Access Instructions http//ww
w.geongrid.org/science/lidar.html More
Information http//lidar.asu.edu/ Contact chri
s.crosby_at_asu.edu