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- EP41E-1848: A geostatistically grounded workflow for spatial uncertainty quantification in lidar topographic differencing
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Board 1848‚ Hall EFG (Poster Hall)NOLA CC
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Cassandra Brigham, Arizona State University (First Author, Presenting Author)
Chelsea Scott, Arizona State University
Ramon Arrowsmith, Arizona State University
Minh Phan, San Diego Supercomputer Center
Jessica DeWitt, USGS Florence Bascom Geoscience Center
Monica Palaseanu-Lovejoy, USGS Geology, Minerals, Energy, and Geophysics Science Center
Viswanath Nandigam, San Diego Supercomputer Center
Jason Stoker, USGS Geological Survey
Scott Anderson, USGS Washington Water Science Center
Dean Gesch, U.S. Geological Survey, Earth Resources Observation and Science Center
Christopher Crosby, EarthScope Consortium
Matthew Beckley, EarthScope Consortium
Scientists study how the Earth’s surface changes due to natural hazards like earthquakes and wildfires by comparing detailed 3D maps of the Earth's landscape at different times. However, the maps of change contain errors related to the data collection or processing that can make it difficult to interpret the results.To solve this, we created a new workflow that automatically estimates errors based on patterns in the change maps. Our method calculates characteristics of the error patterns, for example due to instrument noise. We developed two versions: a cloud-based tool on the OpenTopography platform that anyone can use to get a sense of the types of error present, and a more advanced version for expert researchers to get uncertainty brackets around change results. By making error-checking a standard and easy step, our work helps scientists produce high quality measurements of how our planet is changing.
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