Geospatial Accuracy of Small Unmanned Airborne System Data in the Coastal Environment

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.

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Document Details

Document Type
Technical Report
Publication Date
Feb 19, 2019
Accession Number
AD1067894

Entities

People

  • Aaron J. Armstrong
  • Jarrod D. Edwards
  • Jeffrey G. Ruby
  • Katherine Brodie
  • Nicholas J. Spore
  • Robert L. Fischer

Organizations

  • Engineer Research and Development Center

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Airborne
  • Aircrafts
  • Army
  • Army Corps Of Engineers
  • Cameras
  • Computer Vision
  • Data Sets
  • Engineering
  • Engineers
  • Environment
  • Errors
  • Flood Control
  • Flood Hazards
  • Global Positioning Systems
  • Research Facilities
  • Three Dimensional

Fields of Study

  • Environmental science

Readers

  • Aerial Unmanned Vehicle Swarm Micro Periodontal Dentistry.
  • Aquatic Ecology
  • Computer Vision.

Technology Areas

  • Autonomy