Accuracy Assessment of Three-Dimensional Point Cloud Data Collected With a Scanning Total Station on Shinnecock Nation Tribal Lands in Suffolk County, New York
Links
- Document: Report (14.4 MB pdf) , HTML , XML
- Figures:
- Figure 2 (3.20 MB) - Map showing the study area where three-dimensional point cloud data were collected with a scanning total station along the western shoreline of the Shinnecock Peninsula in Suffolk County, New York, for a point cloud accuracy assessment
- Figure 3 (3.25 MB) - Map showing estimated position of the shoreline after sea-level rise of about 0.46 meter (m) within the study area on the Shinnecock Nation Tribal lands in Suffolk County, New York, using a conservative model projection for 2050
- Figure 4 (1.76 MB) - Graphical representation of the point cloud of A, the study area in plan view, B, the coastal spit in plan view, and C, the dune adjacent to the Tribal cemetery on the Shinnecock Nation Tribal lands in Suffolk County, New York, in section view in July 2022
- Data Release: USGS data release - Three-dimensional point cloud data collected with a scanning total station on the western shoreline of the Shinnecock Nation Tribal lands, Suffolk County, New York, 2022
- Download citation as: RIS | Dublin Core
Abstract
A combined point cloud of about 85.6 million points was collected during 27 scans of a section of the western shoreline along the Shinnecock Peninsula of Suffolk County, New York, to document baseline geospatial conditions during July and October 2022 using a scanning total station. The three-dimensional accuracy of the combined point cloud is assessed to identify potential systematic error sources associated with the surveying equipment and the novel methodology used to collect and field-register (data are oriented and aligned in real time) point cloud data. The accuracy of the combined point cloud was assessed in terms of relative and absolute reference frames. Relative accuracy provides a measure of error within the local coordinate system and is determined by combining the uncertainty associated with the position of the scan station (the point being occupied by the scanning total station during the scan), the uncertainty associated with the position of the network control points, and the uncertainty associated with the laser of the scanning total station. Assessment of the absolute accuracy includes these three potential error sources combined with the uncertainty associated with the geodetic coordinates to which the local control network is referenced. The combined overall relative horizontal and vertical accuracy of the point cloud is 0.0156 and 0.0241 meter, respectively, at the 95 percent confidence level. The combined overall absolute horizontal and vertical accuracy of the point cloud is 0.0598 and 0.0733 meter, respectively, at the 95 percent confidence level.
Suggested Citation
Noll, M.L., Capurso, W.D., and Chu, A., 2024, Accuracy assessment of three-dimensional point cloud data collected with a scanning total station on Shinnecock Nation Tribal lands in Suffolk County, New York: U.S. Geological Survey Scientific Investigations Report 2024–5027, 23 p., https://doi.org/10.3133/sir20245027.
ISSN: 2328-0328 (online)
Study Area
Table of Contents
- Abstract
- Introduction
- Methods of Investigation
- Accuracy Assessment
- Discussion of Error
- Conclussion
- Selected References
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Accuracy assessment of three-dimensional point cloud data collected with a scanning total station on Shinnecock Nation Tribal lands in Suffolk County, New York |
| Series title | Scientific Investigations Report |
| Series number | 2024-5027 |
| DOI | 10.3133/sir20245027 |
| Year Published | 2024 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston, VA |
| Contributing office(s) | New York Water Science Center |
| Description | Report: vii, 23 p.; Data Release |
| Country | United States |
| State | New York |
| County | Suffolk County |
| Online Only (Y/N) | Y |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |