ASU GEON NODE

J Ramón Arrowsmith

Department of Geological Sciences

Arizona State University, Tempe, AZ

http://activetectonics.la.asu.edu

ramon.arrowsmith@asu.edu

Outline

• (Active) Fault databases and fault system visualization

• Digital topography use scenarios– Hydro1K (1 km)

– Shuttle Topography Mission and National Elevation Dataset (30 m)

– Airborne Laser Swath Mapping (1 m)

• Ideas for online digital elevation data and (satellite) imagery

• Typical shapefile fault “databases”– USGS active faults– California Geological Survey

• Fault databases in development (incomplete list)– Colorado Geological Survey

[Access2000]--http://geosurvey.state.co.us/pubs/ceno/index.htm

– Fault Database for Southern California (Donnellan, et al.) [MySQL]--http://infogroup.usc.edu:8080/Fault_Da.doc

– SCEC/SCEC-ITR: Fault Activity Database, Fault Information System, Community Fault/Block/Velocity Models

Digital (active) fault databases and fault visualization

Southern California Earthquake Center

LA3D-Java--based structural visualization of Community Fault Model (CFM); GeoWall capable

Digital topography use scenarios

HYDRO1K• Developed from

GTOPO30 (30 arc-second—1 km--DEM)

• Reprojected, hydrologically corrected

• http://edcdaac.usgs.gov/gtopo30/hydro/

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National Elevation Dataset (NED) & Shuttle Radar

Topography Mission (SRTM)• NED—merged, seamless, “best available” 10 or

30 m digital elevation data (mostly 7.5 minute DEM source data)

• SRTM—C and X band interferometric synthetic aperture radar for topographic data acquisition over 80% of earth landmass on 11 day shuttle mission (Feb. 2000). Significant processing for 30 m data. Unedited output from processor.

SRTM and NED downloads• http://seamless.usgs.

gov• ~1x1 degree tiles for

SRTM were ~100Mb; for NED 80 Mb. Total for Rockies = 14.4 Gb

• Merge and reduce precision (m to mm) produces three 1 Gb swaths across the Rockies testbed.

1/3” NED (10 m data): 83 Gb

NED versus SRTM

Grand Canyon

Wasatch NW Montana

Airborne Laser Swath Mapping (ALSM)

• Allows for the measurement of surface topographic features with decimeter-level accuracies.

• AKA Light Detection and Ranging (LIDAR)• Powerful tool for surface process studies because it

allows for the characterization of the landscape at the appropriate scale

• Data intensive!• National Center for Airborne Laser Mapping

(NCALM)—recently funded NSF project for coordinated research grade ALSM data

Ideas for online digital elevation data and (satellite) imagery

http://seamless.usgs.gov/ https://zulu.ssc.nasa.gov/mrsid/

DEMs + Landsat TM 742Or

ASTER …

ASTER-SW scenes (as of 04/03/2003)

Each is ~118Mb ; total here is ~81 Gb

ASTER images for the southern Rockies

“on-the-fly” processing of user selected ASTER image with JAVA front end to IDL

Remote sensing application for geological

mapping

Conclusions

• Collaboration is appropriate with SCEC for Fault representation and visualization efforts

• DEM analysis is data processing intensive• Opportunity to link online elevation and imagery

databases• Other data/efforts:

– Paleoearthquakes– Late Cenozoic vertical motions (exhumation and

basins)– Focal mechanisms (Harvard/USGS have <20)