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High-Resolution LiDAR Pointcloud Dat...

Potapenko, Ivan John.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands./
Author:	Potapenko, Ivan John.
Description:	90 p.
Notes:	Source: Masters Abstracts International, Volume: 54-04.
Contained By:	Masters Abstracts International54-04(E).
Subject:	Geodesy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586903
ISBN:	9781321696769

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

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands. - 90 p.

Source: Masters Abstracts International, Volume: 54-04.

Thesis (M.A.)--University of California, Santa Barbara, 2014.

This item must not be sold to any third party vendors.

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.

ISBN: 9781321696769Subjects--Topical Terms:

550741
Geodesy.

High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.
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100 1 $a Potapenko, Ivan John. $3 3170904
245 1 0 $a High-Resolution LiDAR Pointcloud Data Processing, Computation, and Visualization with Application to Erosion Analysis of the California Channel Islands.
300 $a 90 p.
500 $a Source: Masters Abstracts International, Volume: 54-04.
500 $a Adviser: James Frew.
502 $a Thesis (M.A.)--University of California, Santa Barbara, 2014.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a 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.
590 $a School code: 0035.
650 4 $a Geodesy. $3 550741
650 4 $a Computer Science. $3 626642
650 4 $a Remote Sensing. $3 1018559
650 4 $a Physical Geography. $3 893400
690 $a 0370
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710 2 $a University of California, Santa Barbara. $b Geography. $3 1025686
773 0 $t Masters Abstracts International $g 54-04(E).
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791 $a M.A.
792 $a 2014
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1586903