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LIDAR IN COASTAL STORM SURGE MODELING: MODELING LINEAR RAISED FEATURES
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TitleLIDAR IN COASTAL STORM SURGE MODELING: MODELING LINEAR RAISED FEATURES
AuthorCoggin, David
KeywordsLiDAR
mesh generation
storm surge
ridge detection
AbstractA 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.
AdviserHagen, Scott
PublisherUniversity of Central Florida
DegreeM.S.
Degree DisciplineDepartment of Civil and Environmental Engineering
Degree GrantorEngineering and Computer Science
Degree ProgramCivil Engineering MS
Graduation Date2008-01-01
TypeMaster's thesis
Access LevelPublic - Allow Worldwide Access
Release Date2008-12-20
RepositoryUniversity Archives
Repository CollectionElectronic Theses and Dissertations
IdentifierCFE0002350
Access Linkhttp://purl.fcla.edu/fcla/etd/CFE0002350

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