Absolute 3D Accuracy Assessment of UAS LIDAR Surveying

Details

• Journal Title:
  International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• Personal Author:
  Lassiter, H. A. ; Wilkinson, B. ; Gonzalez Perez, A. ; Kelly, C.
• NOAA Program & Office:
  NOS (National Ocean Service)
• Description:
  Surveying an area with small, unoccupied aerial systems (UAS) equipped with a lidar mapping payload—absent permanent, stable, ; geometrical reference surfaces—demands accurate, repeatable data collection procedures. While relative error within a single UAS ; lidar dataset may reveal itself in strip misalignment, absolute error (particularly horizontal error) can prove more difficult to detect, ; casting doubt upon the quality of both individual surveys and time change analyses of multiple surveys of the area. To gain insight on ; the UAS lidar error budget, this study presents an analysis of multiple UAS lidar surveys over a set of accurately surveyed geometric ; checkpoints. Each flight’s trajectory was processed multiple times using multiple static GNSS base observations, both autonomous ; and set over surveyed monuments, at varying distances from the study site. Custom algorithms were used to mensurate the geometric ; targets detected in each UAS lidar survey's point cloud, allowing for precise comparison of both absolute horizontal and vertical ; accuracy of each survey against the rigorous ground survey. The results of the analysis suggest that high horizontal accuracy can be ; achieved under a variety of conditions, whereas vertical accuracy is sensitive to the quality of ground control. and a discussion of the ; results explores the ultimate goal of isolating and understanding the sources and magnitudes of error in the UAS lidar error budget.
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• Keywords:
  • UAS
  • UAV
  • Drones
  • Lidar
  • Targets
  • Accuracy
• Source:
  International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
• DOI:
  https://doi.org/10.5194/isprs-archives-XLIV-M-3-2021-105-2021
• Document Type:
  Journal Article
• Funding:
  Grant no. NA18NOS4000198
• Rights Information:
  CC BY
• Compliance:
  Submitted
• Download URL:
  https://repository.library.noaa.gov/view/noaa/32977/noaa_32977_DS1.pdf
• File Type:
  [PDF - 1.02 MB]
• Collection(s):
  National Ocean Service (NOS)
• Main Document Checksum:
  urn:sha-512:05a1dd8cc5551dcffdf36432e1940b342dee2c46a5a6534c4c0cae2ca5fd8b467519fdcd9e9a14a471f11f904f007bf1a94aacb0e0086f96f3e4f8c8eebc9441