Topographic accuracy assessment of bare earth lidar-derived unstructured meshes |
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| Institution: | 1. Marine Sciences Institute (ICM, CSIC), 08003 Barcelona, Spain;2. IMEDEA, 07190 Esporles, Spain;3. School of Civil Engineering (UCLM), 13005 Ciudad Real, Spain;1. College of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu, China;2. Department of Civil and Environmental Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI, USA;3. School of Freshwater Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA;4. National Park Service, Ashland, WI, USA;1. University of Central Florida, Department of Civil, Environmental, and Construction Engineering, P.O. Box 162450, Orlando, FL, USA;2. Louisiana State University, Department of Civil & Environmental Engineering/Center for Computation & Technology, 3418 Patrick F. Taylor, Baton Rouge, LA, USA;3. Louisiana State University, Department of Civil & Environmental Engineering, 3418 Patrick F. Taylor, Baton Rouge, LA, USA;1. U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, 600 4th Street South, St. Petersburg, FL, USA;2. Louisiana State University, Department of Civil & Environmental Engineering, Center for Computation & Technology, Baton Rouge, LA, USA |
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| Abstract: | This study is focused on the integration of bare earth lidar (Light Detection and Ranging) data into unstructured (triangular) finite element meshes and the implications on simulating storm surge inundation using a shallow water equations model. A methodology is developed to compute root mean square error (RMSE) and the 95th percentile of vertical elevation errors using four different interpolation methods (linear, inverse distance weighted, natural neighbor, and cell averaging) to resample bare earth lidar and lidar-derived digital elevation models (DEMs) onto unstructured meshes at different resolutions. The results are consolidated into a table of optimal interpolation methods that minimize the vertical elevation error of an unstructured mesh for a given mesh node density. The cell area averaging method performed most accurate when DEM grid cells within 0.25 times the ratio of local element size and DEM cell size were averaged. The methodology is applied to simulate inundation extent and maximum water levels in southern Mississippi due to Hurricane Katrina, which illustrates that local changes in topography such as adjusting element size and interpolation method drastically alter simulated storm surge locally and non-locally. The methods and results presented have utility and implications to any modeling application that uses bare earth lidar. |
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