Imaging and Analyzing Southern California's Active Faults

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Imaging and Analyzing Southern California's Active Faults with Lidar: A Joint SCEC/OpenTopography/UNAVCO Short Course

2013 Southern California Earthquake Center Research Summary, Project #13110

SCEC PIs Christopher J Crosby UNAVCO / OpenTopography [email protected] Ramón Arrowsmith School of Earth and Space Exploration (SESE) Arizona State University Tempe, AZ 85287-1404, U.S.A. [email protected] Instructors J Ramón Arrowsmith, Arizona State University Christopher Crosby, UNAVCO Emily Kleber, Arizona State University Edwin Nissen, Colorado School of Mines Peter Gold, University of Texas at Austin Abstract: Lidar data has become an important tool for earthquake scientists to make detailed observations and model surface evolution. Within the last 7 years, several efforts have been made to collect high-resolution topographic data for active faults (e.g. The B4 project, EarthScope and NCALM projects). These datasets are available freely online through OpenTopography, a NSF funded lidar data distribution portal. The active tectonics community has taken great interest in these exciting datasets, using them to generate new and important insights into earthquake processes in Southern California. OpenTopography, in partnership with SCEC and UNAVCO, hosted a short course at the San Diego Supercomputer Center at UCSD, November 4-6, 2013 to highlight recent research results and provide beginner to intermediate training on airborne and terrestrial lidar technology. The course focused on point cloud and raster-based data processing, and active fault-oriented analysis. The curriculum included modules on fault trace and geomorphic mapping applications, topographic differencing, integration with other geospatial data, and data visualization and analysis approaches. Consistent with previous SCEC-supported lidar short courses in 2009 and 2011, interest in the 2013 course exceeded capacity with 42 applications for 30 course slots (in the end we accepted 33 participants). Course participants were primarily graduate students, with a hand full of faculty, consultants, postdocs, and undergraduates.

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Technical Report Overview: The Imaging and Analyzing Southern California's Active Faults with Lidar short course was held November 4-6, 2013 at the San Diego Supercomputer Center at UCSD, in La Jolla, CA. The primary course sponsor was SCEC, but OpenTopography and UNAVCO also contributed funding and staff time to support the course. Course co-organizers and instructors included the PIs as well as Emily Kleber (ASU), Ed Nissen (CSM), and Peter Gold (UT). We received 42 applications to the short course, with an intended target of 30 participants. We increased the number admitted to 33. The workshop was a success and we had lots of great discussion, training, and demonstration with a diverse group of participants. We received numerous compliments on the content, organization, and execution. The participants included 19 graduate students, three postdocs, two undergraduates, and numerous professional geoscientists including some from state agencies (California Geological Survey), and International scientists (see list of attendees below). A website was developed to capture all of the lectures, exercises, and other content prepared for the course (http://www.opentopography.org/index.php/resources/short_courses/13scec_course/). This repository of information is a valuable resource for users seeking to familiarize themselves with lidar data and applications to active fault studies. Course Agenda, Lectures, Exercises:

Monday, November 4th 2013

Time Topic Instructor, Affiliation (Location)

8:30am Welcome, group introductions SDSC Synthesis Center

9:30am Introductory lectures - lidar science examples • Sharpening our view of earth processes with high

resolution topography Introduction and LiDAR

J Ramón Arrowsmith, Arizona State University

10:15am Break

10:30am Introductory lectures, cont.- Introduction to ALS, introduction to TLS. • Introduction to Lidar and TLS Science Examples

Christopher Crosby, UNAVCO/OpenTopography

12:00pm Lunch Provided

1:00pm

Raster-based lidar analysis in ArcGIS: Data visualization, mapping, simple topographic differencing, hydrologic analysis Lecture • Basic visualization of LiDAR Digital Elevation

Models using ArcGIS • Extracting Information from DEMs in ArcMap • Simple landscape morphometry and stream network

delineation • Video Tutorials Data: • Exercise 1 Data • Exercise 2 Data (back up)


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• Exercise 3 Data

3:00pm break

3:15pm Lidar QA/QC, artifacts, issues to keep in mind


4:00pm

Raster-based lidar analysis in ArcGIS: Data visualization, mapping, simple topographic differencing, hydrologic analysis • LAStools, LAStools Download • Points2Grid (WinP2G) • LAS format and processing

DTMs from tins and local binning • Mill Gulch Data


5:00pm Return to hotel Dinner on your own

7:30pm Presentations from participants & social gathering Clarion Del Mar Inn conference room

Tuesday, November 5th 2013


8:30am OpenTopography portal, UNAVCO, NCALM, and other resources


10:00am

Group 1: LidarViewer - point cloud visualization and manipulation • Lecture- LiDARViewer: Point-based

LiDAR visualization and analysis • Lidar Viewer Tutorial • Lidar Viewer sample data and droplet (930

MB) | Install Instructions • Lidar Viewer webpage Group 2: Structure from Motion (SfM) • Structure from Motion (SfM) • Agisoft PhotoScan Demo Download • ERI Seismometer 3D PDF • ERI Seismometer SfM sample data

• Group 1: Peter Gold, University of Texas, Austin

• Group 2: Edwin Nissen, Colorado School of Mines J Ramón Arrowsmith, Arizona State University

12:00pm Lunch Provided

12:30pm SDSC Machine Room tour

1:00pm Group 1: Structure from Motion (SfM) Group 2: LidarViewer - point cloud visualization and manipulation

4:30pm LaDicaoz: LiDAR data handling and lateral displacement measurement


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• LaDiCaoz data and Scripts for Short Course

• LaDiCaoz scripts, documentation, and tutorials (dropbox)

• Olaf Zielke Matlab scripts • Olaf Zielke homepage

Wednesday, November 6th 2013


8:30am

Topographic Change Detection, (e.g. iterative closest point (ICP) using CloudCompare) Lecture and Links • Registering (aligning) multiple

topographic datasets and topographic change detection

• CloudCompare website • CloudCompare User Manual (2.1) Class Exercise and Data • Exercise: Advanced Topographic

Change Detection Using CloudCompare

• CloudCompare Data- Tahoe and Sand Dunes

• CloudCompare Data- El Mayor Cucupah pre/post

Emily Kleber, Arizona State University/OpenTopography Edwin Nissen, Colorado School of Mines

11:30am Final discussion, Q&A SDSC Synthesis Center

12:30pm End of course

Short Course Participants:

Participant Name Institution

Aaron Salin University of Texas at Austin

Adrian Bender Western Washington University

Brian J. Swanson California Geological Survey

Carlos Gutierrez California Geological Survey

Christina Valen University of California, San Diego

Christopher Milliner USC

Clif Davenport California Geological survey

Dallas Rhodes Georgia Southern University

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Elise Weldon University of Oregon

Elizabeth Haddon Western Washington University

Emiliano Monroy-Rios Northwestern University

Emily Wei Scripps Institution of Oceanography

Enrique Correa V. CICESE

Hubert Zal University of Rochester

John Conrad University of California, Riverside

John Wall North Carolina State University

Kathleen Hodgkinson UNAVCO

Keith Hodson University of Washington

Kendra Johnson Colorado School of Mines

Kendra Pivaroff-Ward University of Washington

Kevin Dobbs The University of Kansas

Liwen Shih U of Houston - Clear Lake

Marc Delattre California Geological Survey

Marianne Okale UNAVCO

Pat Williams SDSU

Riccardo Civico Istituto Nazionale di Geofisica e Vulcanologia, Italy

Robert Zinke USC

Simarjit Chehal CSU,northridge

Stephen Angster University of Nevada, Reno

Thomas Crane California State University San Bernardino

Tim Bailey Humboldt State University

Wei Zhanyu institute of geology, CEA

Yongfei Wang Scripps Institute of Oceanography, UCSD

Katherine Shervais Colorado State University

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Exemplary Figure

Imaging and Analyzing Southern California's Active Faults with Lidar short course participants work through a hands-on data processing exercise in the Synthesis Center at the San Diego Supercomputer Center at UCSD (Photo: C. Crosby) Intellectual Merit With over 4500 km2 of recently acquired fault zone lidar available in southern California, and a pool of TLS equipment accessible to the community through UNAVCO, enthusiasm and interest in these data are high. The SCEC lidar short course is timely and focused venue to present advances in analysis techniques and recent results, and to provide a foundation for new community members who wish to incorporate these data into their research. This course helps to develop a community of SCEC scientists, graduate students, and agency and consulting geoscientists who can fully harness the rich community airborne and terrestrial lidar resources currently available to advance SCEC science priorities. Broader Impacts The SCEC lidar short course provides hands-on training in new geospatial data processing and analysis techniques that are applicable beyond active tectonics applications of lidar. With an emphasis on undergraduate, graduate, and postdoctoral participants, the short course provides technical training and education to the future geoscience workforce. All materials from the course are also available online where they can be reused by the larger scientific and practitioner communities. Publications - NA

Documents

Imaging and Analyzing Southern California's Active Faults