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Ground control point and transect locations associated with images collected during unmanned aerial systems (UAS) flights over The Lake Ontario shoreline in the vicinity of Braddock Bay, New York in July 2017

Dates

Publication Date
Start Date
2017-07-10
End Date
2017-07-11

Citation

Sherwood, C.R., Brosnahan, S.M., Ackerman, S.D., Borden, Jonathan, 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 Braddock Bay, New York, July 10 to 11, 2017: U.S. Geological Survey data release, https://doi.org/10.5066/F74F1PX3.

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), in three locations 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 vicinities of Braddock Bay, Sodus Bay, and Chimney Bluffs State Park, 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 [...]

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Attached Files

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2017042FA_BraddockBay_GCPs.csv 22.32 KB text/csv
2017042FA_BraddockBay_GCPs.xml
Original FGDC Metadata

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29.09 KB application/fgdc+xml
2017042FA_BraddockBay_GCPs_browse.jpg thumbnail 786.07 KB image/jpeg

Purpose

The objective of obtaining these ground control points was to constrain the photogrammetric products constructed from the aerial images taken at Braddock Bay, by providing survey-quality ground validation, which far exceeds the accuracty that can be provided from the photo geolocations alone. Transect points are used to validate the final accuracy of the products, and ground control points are used geolocate the products as accurately as possible.

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