Short Course
Multi-Temporal Topographic Analysis of Natural Hazards Using OpenTopography
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This short course introduces OpenTopography, an NSF-supported platform designed to streamline the discovery, processing, and analysis of high-resolution topographic data. Through hands-on case studies of natural hazards like earthquakes, landslides, and volcanic eruptions, participants will learn fundamentals of topographic differencing to quantify surface change and uncertainty. The workshop is ideal for graduate students, researchers, and practitioners looking to leverage freely available datasets for hazard assessment and response.
Instructors
Instructors
Cassandra Brigham
Arizona State University
Chelsea Scott
Arizona State University
Christopher Crosby
EarthScope Consortium
Location:
INSTAAR, University of Colorado, Boulder Campus, Boulder, Colorado
Sponsors:
NSF OpenTopography and CLaSH Center
Cost:
Free to selected participants. Travel awards are also available for a select number of participants. Applications and meeting registration is due by July 24th. Applicants will be notified by Aug 1.
Description:
The growing availability of multi-temporal, high-resolution topography datasets from lidar and photogrammetry offers new opportunities to quantify surface change driven by hazard-relevant processes — including earthquakes, volcanic eruptions, landslides, debris flows, coastal erosion, post-wildfire landscape response, and flood-driven channel change.
This short course introduces OpenTopography, an NSF-supported platform that streamlines the discovery, processing, visualization, and analysis of high-resolution topographic data. After a refresher on lidar, structure-from-motion photogrammetry, point clouds, and topographic differencing fundamentals, participants will explore OpenTopography's on-demand tools for computing vertical differences between overlapping pre- and post-event datasets. We will also cover how to interpret change results and quantify their uncertainty.
Through hands-on hazard case studies, attendees will gain practical experience processing multi-temporal datasets to quantify landscape change and correctly interpret differencing results. Participants will have the opportunity to apply differencing to their site of interest and ask instructors questions. This workshop is ideal for graduate students, hazards researchers, practitioners, and educators seeking to leverage freely available, high-resolution topographic data for hazard assessment and response.
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