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Monday, November 6 • 1:30pm - 3:00pm
Workshop. Procedures for Improving the Quality of LiDAR Data

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AUTHORS: Katrina Schweikert*, Blue Marble Geographics

ABSTRACT: In recent years, it has become increasingly apparent that the availability of LiDAR data is expanding at a rate that is out-pacing the requisite knowledge and skills needed to effectively utilize the data. As a commodity, LiDAR is the raw material from which countless derivative products are created and, as with any production process, the quality of the raw material has a direct bearing on the quality of the final product. In this workshop, we will follow a series of workflows that address several of the inherent imperfections often encountered in off-the-shelf LiDAR data. We will begin by demonstrating several data editing and filtering techniques resulting from an initial analysis of the characteristics of the data. We will look at point classification types and how they can be visualized, queried, and manually edited. We will explore the process of automatically identifying and, if necessary, deleting noise points. We will walk through the steps required to automatically identify and reclassify ground and vegetation points, which form the basis for many 3D analysis techniques and volume calculations. We will show how to crop a point cloud to a predefined geographic boundary eliminating unnecessary points and reducing file size. We will explore the method for adjusting the LiDAR data, both horizontally and vertically, to adhere to surveyed ground control points. Finally, we will show how all of these data improvements can be incorporated into a new LAS or LAZ file.

Monday November 6, 2017 1:30pm - 3:00pm
Freedom

Attendees (2)