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.
  
  
• Keywords:
  Accuracy Drones Lidar Targets UAS UAV
• 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
• Main Document Checksum:
  urn:sha-512:05a1dd8cc5551dcffdf36432e1940b342dee2c46a5a6534c4c0cae2ca5fd8b467519fdcd9e9a14a471f11f904f007bf1a94aacb0e0086f96f3e4f8c8eebc9441
• Download URL:
  https://repository.library.noaa.gov/view/noaa/32977/noaa_32977_DS1.pdf
• File Type:
  [PDF - 1.02 MB ]