Please use this identifier to cite or link to this item:
https://hdl.handle.net/11681/32302
Title: | Geospatial accuracy of small unmanned airborne system data in the coastal environment |
Authors: | Fischer, Robert L. Ruby, Jeffrey G. Armstrong, Aaron J. Edwards, Jarrod D. Spore, Nicholas J. Brodie, Katherine L. |
Keywords: | Aerial photography Data collection platforms Geospatial data Micro air vehicles Remote sensing |
Publisher: | Geospatial Research Laboratory (U.S.) Coastal and Hydraulics Laboratory (U.S.) |
Series/Report no.: | Special Report (Engineer Research and Development Center (U.S.)) ; no. ERDC SR-19-1 |
Abstract: | The purpose of this special report is to document the collection of high spatial resolution image data acquired from an unmanned airborne system (UAS) in a coastal environment over the U.S. Army Corps of Engineers Field Research Facility in Duck, NC, to assess the geospatial accuracy of various software processing packages. Imagery data from two missions (one flight from October 2015 and a second from September 2016) were collected using a fixed-wing SenseFly eBee drone platform. Four commercial processing packages were used to generate standard geospatial products to include digital surface models and orthometric mosaics. Geospatial accuracy was assessed via 11 checkpoints spread throughout the 70 hectare site. Results showed that accuracy differed by software package, which could be partially related to the photogrammetric processing approaches. Three-dimensional root mean square error ranged from 0.54 to 0.06 meter. The study also showed the importance of image collection strategy, camera parameter settings, and ground control point/checkpoint design when attempting to assess geospatial accuracy from UAS platforms in the coastal environment. |
Description: | Special Report |
Gov't Doc #: | ERDC SR-19-1 |
Rights: | Approved for Public Release; Distribution is Unlimited |
URI: | https://hdl.handle.net/11681/32302 http://dx.doi.org/10.21079/11681/32302 |
Appears in Collections: | Special Report |
Files in This Item:
File | Description | Size | Format | |
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ERDC SR-19-1.pdf | 1.88 MB | Adobe PDF | View/Open |