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Sodus North point cloud from low-altitude aerial imagery from unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017 (LAZ file)

Dates

Publication Date
Time Period
2017-07-13

Citation

Sherwood, C.R., Brosnahan, S.M., Ackerman, S.D., Borden, J., Montgomery, E.T., Pendleton, E.A., and Sturdivant, E.J., 2018, Aerial imagery and photogrammetric products from unmanned aerial systems (UAS) flights over the Lake Ontario shoreline at Sodus Bay, New York, July 12 to 14, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/P9XQYCD0.

Summary

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic [...]

Contacts

Attached Files

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1.61 GB application/unknown
2017042FA_SodusNorth_PointCloud.xml
Original FGDC Metadata

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30.19 KB application/fgdc+xml
2017042FA_SodusNorth_PointCloud_browse.png
“Detailed-view of point cloud for Sodus North”
thumbnail 929.68 KB image/png

Purpose

These points provide the calculated XYZ (horizontal and vertical) coordinates and RGB (red-green-blue) values of the land surface during a mid-day low-tide on 13 July, 2017 in the Sodus North study area. The product was created to demonstrate the use of structure-from-motion (SfM) for coastal research and may be used to develop further datasets, such as the digital elevation models, geomorphic feature mapping, and land cover classification.

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