Loading…
This event has ended. View the official site or create your own event → Check it out
This event has ended. Create your own

Welcome to the technical sessions schedule for the 2015 Annual Fall NEARC Conference. 

NEW THIS YEAR!
 The technical schedule is capable of being sorted by date (i.e, Monday, Nov. 9) or track (i.e. USGS Hydro). You can also search for a presentation title (i.e. Harmonizing the NHD and WBD Datasets in Maine), key term (i.e. NHD), or presenter last name (i.e. O’Neil-Dunne). The sort and search functions can be found on the navigation panel on the right side of this page. If you hover over the "Schedule" button, you’ll also see different schedule view options (i.e. Grid or Simple). Try selecting each of them to see which view you prefer. 

MY SCHEDULE FEATURE: It is not required of you to create a Sched.org account to use this site but if you do so, you’ll be able to use the "My Schedule" feature which allows you to create your own schedule for the conference. Click the "Sign Up" button in the top right corner of this page to create a Sched.org account. 

MAIN NEARC WEBSITE: Click here to return to the main NEARC conference website for poster abstracts, GIS Educators Day schedule, and full conference schedule at-a-glance. 

View analytic
Tuesday, November 10 • 10:30am - 12:00pm
Using LiDAR Data to Create 3D Building Footprints

Sign up or log in to save this to your schedule and see who's attending!

Katrina Schweikert

More and more GIS professionals are utilizing LiDAR data to leverage the third dimension in their GIS projects. The increased availability of these LiDAR point clouds, combined with the development of powerful software to efficiently and effectively utilize this data, have provided the means for GIS professionals to create 3D data layers that were virtually unheard of a few years ago. Beyond simply generating crude surface models, these software tools significantly improve the usability of the data through the elimination of erroneous points and the automatic reclassification of the point cloud to reflect the actual characteristics of the mapped surface. In this workshop we will use LiDAR processing tools to create a 3D building footprint layer. Among the procedures employed in this workflow are classification tools that are designed to automatically detect and reclassify ground points, buildings, and vegetation in unclassified data. In this presentation, we will also demonstrate how LiDAR data can be queried; filtered, and edited to create a more usable point cloud layer. Finally we will demonstrate how to automatically extract and delineate vector features, including buildings, from classified LiDAR points.



Tuesday November 10, 2015 10:30am - 12:00pm
Lake Champlain B

Attendees (16)