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Update on ASU GEON Activities

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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  1. Update on ASU GEON Activities J Ramon Arrowsmith GEON PI Meeting Reston, VA May 13, 2006

  2. 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)

  3. 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

  4. R. Haugerud, U.S.G.S LiDAR Introduction Survey Interpolate / Grid Process & Classify D. Harding, NASA Point Cloud x, y, zn, … Analyze / “Do Science”

  5. 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

  6. LViz • Visualization of LiDAR point cloud data & interpolated surfaces • FREE Download LViz version 1.2: http://lidar.asu.edu/LViz.html

  7. 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…

  8. http://www.beg.utexas.edu/staffinfo/pdf/bellian_jsr_2005.pdf

  9. 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

  10. 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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