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Development of a Vector-Based Method for Coastal Bluffline Mapping Using LiDAR Data and a Comparison Study in the Area of Lake Erie |
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| Authors: | Yunjae Choung Rongxing Li Myung-Hee Jo |
| Institution: | 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 |
| Abstract: | 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: | LiDAR (Light Detection and Ranging) bluffline bluff top bluff toe Delaunay triangulation normal vector DEM (Digital Elevation Model) |