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AUTHORS: Katrina Schweikert, Blue Marble Geographics
ABSTRACT: These days, it seems that more and more people are discovering creative uses for UAVs or drones. Whether it's Amazon's plans to deliver packages, film makers looking for that perfect shot, or law enforcement officials keeping an eye on the bad guys. The GIS industry is eagerly jumped on this proverbial band wagon, with the rapid proliferation of UAVs opening the broad field of remote data collection and processing to an ever wider audience. Continual improvements in airborne technology and the miniaturization of the requisite sensors has cultivated a nimble new branch of the industry that provides cost-effective data collection services on demand. In this presentation we will explore one increasingly common workflow for UAV operators, in which overlapping geotagged images are processed to create a high-density 3D point cloud. Using the new Pixels-to-Points tool in Global Mapper's LiDAR Module, we address the challenge of calculating the volume of a landfill represented in a surface model derived from a photogrammetrically-generated point cloud. This procedure involves initial visualization of the array of images to ensure optimal and consistent coverage of the landfill area; the establishment of the parameters and settings that allow the output to be customized; the generation of the point cloud along with an accompanying orthoimage and 3D mesh; the identification, reclassification, and filtering of ground or bare earth points; and the creation of a precise Digital Terrain Model (DTM) from which accurate volumetric calculations can be derived.
Tuesday May 8, 2018 11:00am - 11:30am EDT
Room 202