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Sodus North digital elevation model (DEM) 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 (32-bit floating point GeoTIFF image)

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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2017042FA_SodusNorth_DEM.tfw 38 Bytes
2017042FA_SodusNorth_DEM_browse.jpg
“Detailed-view of Sodus North DEM”
thumbnail 371.98 KB
1.92 GB

Purpose

The gridded DEM surface estimates the elevation of the land surface at mid-day low-tide on 13 July, 2017 in the Sodus North study area. It was created to demonstrate the use of structure-from-motion (SfM) for shoreline research and to provide a means to measure the accuracy of the elevation measured through SfM photogrammetry. It is released to provide an elevation dataset that is more accessible than the LAZ elevation point cloud for the general user.

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