Keywords
LiDAR, mesh generation, storm surge, ridge detection
Abstract
A method for extracting linear raised features from laser scanned altimetry (LiDAR) datasets is presented. The objective is to automate the method so that elements in a coastal storm surge simulation finite element mesh might have their edges aligned along vertical terrain features. Terrain features of interest are those that are high and long enough to form a hydrodynamic impediment while being narrow enough that the features might be straddled and not modeled if element edges are not purposely aligned. These features are commonly raised roadbeds but may occur due to other manmade alterations to the terrain or natural terrain. The implementation uses the TauDEM watershed delineation software included in the MapWindow open source Geographic Information System to initially extract watershed boundaries. The watershed boundaries are then examined computationally to determine which sections warrant inclusion in the storm surge mesh. Introductory work towards applying image analysis techniques as an alternate means of vertical feature extraction is presented as well. Vertical feature lines extracted from a LiDAR dataset for Manatee County, Florida are included in a limited storm surge finite element mesh for the county and Tampa Bay. Storm surge simulations using the ADCIRC-2DDI model with two meshes, one which includes linear raised features as element edges and one which does not, verify the usefulness of the method.
Notes
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Graduation Date
2008
Advisor
Hagen, Scott
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Department
Civil and Environmental Engineering
Degree Program
Civil Engineering
Format
application/pdf
Identifier
CFE0002350
URL
http://purl.fcla.edu/fcla/etd/CFE0002350
Language
English
Release Date
December 2008
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
STARS Citation
Coggin, David, "Lidar In Coastal Storm Surge Modeling: Modeling Linear Raised Features" (2008). Electronic Theses and Dissertations. 3478.
https://stars.library.ucf.edu/etd/3478