Update on asu geon activities
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Update on ASU GEON Activities. J Ramon Arrowsmith GEON PI Meeting Reston, VA May 13, 2006. Simple (webservice) enhancements at the portal. Projections File conversion—ascii2shp, grid2geotiff, shape2kml, raster2kml, ascii2scene and raster2scene

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Update on ASU GEON Activities

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Update on ASU GEON Activities

J Ramon Arrowsmith

GEON PI Meeting

Reston, VA May 13, 2006

Simple (webservice) enhancements at the portal

  • Projections

  • File conversion—ascii2shp, grid2geotiff, shape2kml, raster2kml, ascii2scene and raster2scene

    • Ties into both GoogleEarth (kml) and GeoWall communities (fledermaus)

The GEON LiDAR Workflow: An Internet-Based Tool for the Distribution and Processing of LiDAR Point Cloud Data

Christopher J. Crosby, J Ramón Arrowsmith, Jeffrey Connor, Gilead Wurman

Efrat Frank, Ashraf Memon, Vishu Nandigam, Chaitan Baru

R. Haugerud, U.S.G.S

LiDAR Introduction


Interpolate / Grid

Process & Classify

D. Harding, NASA

Point Cloud

x, y, zn, …

Analyze / “Do Science”

The Vision:

  • Utilize the cyberinfrastructure developed by GEON to offer online data distribution, interpolation to grid, and analysis of large LiDAR datasets.

  • Utilize modular web services to complete a variety of processing and analysis tasks.

  • Completely internet-based workflow:

    • Point cloud to visualization

  • Offer users control of interpolation and analysis parameters.

Conceptual GEON LiDAR Workflow


  • Visualization of LiDAR point cloud data & interpolated surfaces

  • FREE

Download LViz version 1.2:


GLW Status

  • Three datasets online:

    • Northern San Andreas Fault

    • West Rainier Seismic Zone

    • Eastern California Shear Zone NCALM / Mike Oskin PI

  • Total of ~2.5 billion LiDAR returns available via GLW.

  • ~60 registered users

  • More data sets in the queue:

    • Southern San Andreas Laser Scan (B4 Project)

    • Hector Mine EQ

    • NCALM Napa Valley

    • Others…


Next phases of GLW-I

Seamless nesting of vector and raster data emphasizing ALSM and GBL/TLS

  • 2.5D (mostly ALSM): Integration of imagery and ALSM, more DEM analysis tools, different methods for and faster gridding

  • 3D (mostly GBL/TLS): True 3D surfaces (triangles/NURBS) with texture mapping of imagery

  • Take it to the field and to the desktop: increase interactivity by format conversion and software development

  • Dynamic metadata, job control, monitoring

    ALSM = Airborne Laser Swath Mapping

    GBL = Ground Based Lidar

    TLS = Terrestrial Laser Scanning

Next phases of GLW-II

  • Two tracks:

    • Production

      • Continue to support and expand hosted data

      • Develop/deploy “Lidar in a box” using GEON/Rocks tools and optimized hardware configuration to get other data providers up and running with DB2

      • Education—lots of geomorphology can be taught with these data at a variety of levels

    • R&D—develop the next set of GLW elements for both IT enhancements as well as increased usability, research product quality and diversity, and teaching.

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