Sponsor
Portland State University. Department of Geography
First Advisor
Jiunn-Der Duh
Date of Award
2016
Document Type
Paper
Degree Name
Master of Science (M.S.) in Geography
Department
Geography
Language
English
Subjects
Drone aircraft -- Remote sensing, Photogrammetry, Geographic information systems, Lidar, Spatial data accuracy, St. Helens (Or.) -- Maps
Abstract
UAS (unmanned-aerial systems) mapping is an emerging technology in spatial science. UAS, more informally referred to as “drones,” are small, radio-controlled or autonomous aerial platforms outfitted with camera sensor systems that can be deployed to fly missions for mapping terrain and structures. With the use of a photogrammetry technique called structure-from-motion, overlapping aerial images can be developed into high-resolution spatial data (< 5-cm). These data are georeferenced by GPS location information assigned to aerial targets which act as ground-control points (GCPs). This research explores the accuracy of the UAS-derived digital surface model (DSM) as it relates to a LIDAR DSM of the same study area in St. Helens, Oregon.
The site that was chosen to be mapped was a large wastewater treatment plant, with surrounding natural areas, residential, and industrial properties. The site was mapped using a small quadcopter-style UAS which was programmed autonomously; the overlapping aerial photos from three separate flights were compiled in photogrammetry software to create a high-resolution orthomosaic and 3D point cloud. The DSM was created in GIS and a difference model was constructed using a LIDAR model from the same area. After analyzing the difference model, it was found that UAS mapping produced accurate results of mapping terrain in areas of bare earth and pavement, but struggled in areas with dense vegetation. UAS provides an affordable, efficient, and accurate terrain mapping tool to fly at low-altitudes and produce GIS-ready data for high-resolution mapping and spatial analysis.
Persistent Identifier
https://archives.pdx.edu/ds/psu/44211
Recommended Citation
Schane, Joshua D., "Comparing Unmanned Aerial Systems (UAS) Structure-From-Motion Digital Surface Modeling to Laser Imaging Detection and Ranging (LIDAR)" (2016). Geography Masters Research Papers. 31.
https://pdxscholar.library.pdx.edu/geog_masterpapers/31
Included in
Geographic Information Sciences Commons, Remote Sensing Commons, Spatial Science Commons
Comments
A research paper submitted in partial fulfillment of the requirements for the degree of
Master of Science in Geography
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