Development of a Vector-Based Method for Coastal Bluffline Mapping Using LiDAR Data and a Comparison Study in the Area of Lake Erie
This paper introduces a new method for bluffline extraction based on analysis of surface normal vectors derived from a 2.5-dimensional Delaunay triangulation network generated using a set of LiDAR points. The developed method has been implemented and tested for the extraction of blufflines
in a section of the Lake Erie coastline near Painesville, Ohio. Comparison of the research results with those generated by a method for bluffline extraction based on slope information along elevation profiles on transects shows an improvement in both horizontal and vertical accuracies in situations
where the bluff has a relatively sharp edge formation.
Keywords: DEM (Digital Elevation Model); Delaunay triangulation; LiDAR (Light Detection and Ranging); bluff toe; bluff top; bluffline; normal vector
Document Type: Research Article
Affiliations: 1: Mapping and GIS Laboratory, Department of Civil, Environmental and Geodetic Engineering, Ohio State University, Columbus, Ohio, USA 2: Department of Satellite Geo-infomatics Engineering, School of Convergence and Fusion System Engineering, Kyungpook National University, Sangju, Republic of Korea
Publication date: 01 September 2013
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