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CSV file of names, times, and locations of images collected by an unmanned aerial system (UAS) flying over Black Beach, Falmouth, Massachusetts on 18 March 2016


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Sturdivant, E.J., Thieler, E.R., Lentz, E.E., Remsen, D.P., and Miner, Simon, 2017, Topographic, imagery, and raw data associated with unmanned aerial systems (UAS) flights over Black Beach, Falmouth, Massachusetts on 18 March 2016: U.S. Geological Survey data release,


Imagery acquired with unmanned aerial systems (UAS) and coupled with structure-from-motion (SfM) photogrammetry can produce high-resolution topographic and visual reflectance datasets that rival or exceed lidar and orthoimagery. These new techniques are particularly useful for data collection of coastal systems, which requires high temporal and spatial resolution datasets. The U.S. Geological Survey worked in collaboration with members of the Marine Biological Laboratory and Woods Hole Analytics at Black Beach, in Falmouth, Massachusetts to explore scientific research demands on UAS technology for topographic and habitat mapping applications. This project explored the application of consumer-grade UAS platforms as a cost-effective [...]


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Original FGDC Metadata

23.03 KB application/fgdc+xml
bb20160318_UAS_imagelocations.csv 32.32 KB text/csv
bb20160318_UAS_imagelocations_browse.png thumbnail 892.57 KB image/png


These image locations are provided for use with the referenced images in creating an elevation model for Black Beach, Falmouth, Massachusetts.

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