Develop Guidelines for Integration of UAS LiDAR and Photogrammetry to Enhance Land Surveying Capabilities

Unmanned aircraft systems (UASs) equipped with digital cameras, light detection and ranging (LiDAR) sensors, or both enable the collection of high spatial resolution three-dimensional (3D) quantitative geospatial data. This data may be used to support a variety of surveying and mapping activities, potentially with lower costs and greater safety than traditional survey methods. When using a camera, the technique is called Structure-from-Motion photogrammetry or UAS-SfM. In practice, there are important differences between UAS-SfM and UAS-LiDAR including measurement fidelity, operational considerations, post-processing workflows, and cost-effectiveness. With a lack of clear guidance on when UAS-SfM versus UAS-LiDAR is the best fit for a specific task, there is a need to evaluate the real-world performance capabilities and limitations of both technologies.

• Record URL:
  https://library.ctr.utexas.edu/Presto/project=7157

Language

• English

Project

• Status: Completed
• Funding: $553,669
• Contract Numbers:

  0-7157

• Sponsor Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Managing Organizations:

  Texas Department of Transportation

  125 E. 11th Street
  Austin, TX  United States  78701-2483
• Project Managers:

  Souraphath, Danny

• Performing Organizations:

  Texas A&M University - Corpus Christi

  6300 Ocean Dr.
  Corpus Christi, Texas  United States  78412

  Texas A&M Transportation Institute

  Texas A&M University System
  3135 TAMU
  College Station, TX  United States  77843-3135
• Principal Investigators:

  Starek, Michael

• Start Date: 20220901
• Expected Completion Date: 20241031
• Actual Completion Date: 20241031

Subject/Index Terms

• TRT Terms: Aerial photogrammetry; Data collection; Digital cameras; Laser radar; Surveying methods and processes; Unmanned aircraft systems
• Subject Areas: Data and Information Technology; Highways;

Filing Info

• Accession Number: 01863351
• Record Type: Research project
• Source Agency: Texas Department of Transportation
• Contract Numbers: 0-7157
• Files: RIP, STATEDOT
• Created Date: Nov 3 2022 5:08PM