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

D. Harding, NASA

Point Cloudx, y, zn, …

LiDAR IntroductionSurvey

Process & Classify

Analyze / “Do Science”

Interpolate / Grid

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

Download LViz version 1.2:http://lidar.asu.edu/LViz.html

• Visualization of LiDAR point cloud data & interpolated surfaces

• FREE

LViz

GLW Status• Three datasets online:

1. Northern San Andreas Fault2. West Rainier Seismic Zone

3. 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…

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

Next phases of GLW-ISeamless 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 MappingGBL = Ground Based LidarTLS = Terrestrial Laser Scanning

• 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.

Next phases of GLW-II