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Monday, October 15 • 9:00am - 9:30am
Generating a 3D Point Cloud from UAV Images

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The proliferation of Unmanned Aerial Vehicles (UAVs) is rapidly changing the GIS landscape and is opening the broad field of remote data collection and processing to a wide 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. This rapid evolution in spatial technology is also manifest in the accompanying software, with inexpensive, off-the-shelf applications now able to efficiently process and analyze large volumes of data. In this presentation we will explore one increasingly common software workflow for UAV operators, in which overlapping geotagged images are processed to create a high-density point cloud. Using the Pixels-to-Points tool in Global Mapper’s LiDAR Module, we will address the challenge of calculating landfill volumes in a surface model derived from a photogrammetrically-generated point cloud. This procedure involves the following steps:
- Visualization of the array of images as picture points on a base map to ensure optimal and consistent coverage of the landfill area
- Removal of erroneous or unrequired images
- Establishment of the parameters and settings that allow the output to be customized before initiating the point cloud generation procedure
- Identification and reclassification of ground or bare earth points in the finished point cloud
- Creation of a precise Digital Terrain Model (DTM) from which accurate volumetric calculations can be derived.


Monday October 15, 2018 9:00am - 9:30am EDT
Rowley - 2nd Floor