Alexandria Digital Research Library

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands

Author:
Potapenko, Ivan John
Degree Grantor:
University of California, Santa Barbara. Geography
Degree Supervisor:
James Frew
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2014
Issued Date:
2014
Topics:
Physical Geography, Geodesy, Remote Sensing, and Computer Science
Keywords:
Erosion
Topography
Lidar
Channel islands
Gis
Point cloud
Genres:
Dissertations, Academic and Online resources
Dissertation:
M.A.--University of California, Santa Barbara, 2014
Description:

Light Detection And Ranging (LiDAR) pointcloud datasets provide immense opportunities for studying 3-D structures in high-resolution detail. The novelty of three- dimensional, heterogeneously spaced, massive datasets creates numerous computational challenges. In this work, we produce software and methods that build on newly released software libraries to process, compute, and visualize lidar pointcloud data. Our scripts streamline processing of raw lidar pointcloud data through various stages: filtering, classification, visualization, and computation of various topographic metrics (slope, aspect, curvature, etc). We demonstrate the value of computing topographic metrics at the pointcloud level over traditional raster-based approaches and apply our tools to calculate slopes and estimate erosion of the California Channel Islands.

Physical Description:
1 online resource (90 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f3hq3x3b
ISBN:
9781321696769
Catalog System Number:
990045119590203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Ivan Potapenko
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