AbstractLeveraging Data Fusion Innovations - Automated Feature ExtractionTrack: Imagery Author For years, Woolpert has been collecting, testing, and experimenting with LiDAR data, but recent technology advances have allowed for the fusion of multi-spectral data to become a cost-effective and accurate means of deriving geospatial information. With automated feature extraction, data sets such as impervious surface delineation, land use classification, and change detection are at the forefront of this advance in technology. This presentation will demonstrate how data such as impervious surfaces, buildings, landuse/landcover classifications, etc. can now be produced through automation using multi-spectral imagery and LiDAR data. In the past, feature extraction was labor intensive, time consuming, and costly. This presentation will illustrate how data can now be extracted, classified, and incorporated into a GIS and will also cover additional benefits of automation such as timeliness and cost effectiveness. Larry Moore City of Columbus (Operational Support) 910 Dublin Road, 3rd Floor Columbus, Ohio 43215-9053 United States Phone: 614-645-8925 E-mail: lpmoore@columbus.gov Mary Helen Wood Woolpert, Inc. 2000 Center Point Drive Suite 2200 columbia, South Carolina 29210 United States Phone: 803-214-5942 E-mail: maryhelen.wood@woolpert.com Aaron Lawrence Woolpert 4454 Idea Center Blvd Dayton, Ohio 45430-1500 United States Phone: 937.531.1232 E-mail: aaron.lawrence@woolpert.com |