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Charles Point orthomosaic 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 (GeoTIFF image)

Dates

Publication Date
Start Date
2017-07-12
End Date
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_CharlesPt_Orthomosaic.xml
Original FGDC Metadata

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26.97 KB application/fgdc+xml
1.4 GB image/geotiff
2017042FA_CharlesPt_Orthomosaic.tfw 52 Bytes text/plain
2017042FA_CharlesPt_Orthomosaic_browse.jpg
“Detailed-view of the orthomosaic image for Charles Point”
thumbnail 90.25 KB image/jpeg

Purpose

The orthomosaic image provides the optical surface reflectance of the land surface at mid-day low-tide on 12-13 July, 2017 in the Charles Point study area. It was one of three products created to demonstrate the use of structure-from-motion for coastal research and to provide a means to test land cover classification from high-resolution imagery.

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