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Aerial imagery and ground control points collected during an uncrewed aerial systems (UAS) survey at Plum Island Estuary and Parker River NWR (PIEPR), November 14, 2017 and March 28, 2019

Dates

Publication Date
Date Collected
2017-11-14
Date Collected
2019-03-28

Citation

Cramer, J.M., Huntley, E.C., Brosnahan, S.M., Ganju, N.K., Sturdivant, E.J., Pendleton, E.A., Ackerman, S.D., and Borden, J., 2022, Aerial imagery and ground control points collected during an uncrewed aerial systems (UAS) survey at Plum Island Estuary and Parker River NWR (PIEPR), November 14, 2017 and March 28, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9PP35F4.

Summary

Low-altitude (80 and 100 meters above ground level) digital images were taken over an area of the Plum Island Estuary and Parker River National Wildlife Refuge (NWR) in Massachusetts using 3DR Solo unmanned aircraft systems (UAS) on November 14, 2017 and March 28, 2019. These images were collected as part of an effort to document marsh stability over time and quantify sediment movement using UAS technology. Each UAS was equipped with either a Ricoh GRII digital camera for natural color photos, used to produce digital elevation models and ortho images, or a MicaSense RedEdge multi-spectral camera that captures five specific bands of the visible spectrum (blue, green, red, red edge, and near-infrared), which can be used to classify vegetation. [...]

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2017057FA_2019009FA_true_color_imagery_browse.jpg
“Example true color image of Plum Island, Massachusetts, taken in March 2019.”
thumbnail 2.52 MB image/jpeg

Purpose

True color images were collected with the appropriate resolution and overlap to permit the generation of high quality photogrammetric products, including orthomosaics, and digital elevation models. Multispectral images were collected with appropriate resolution and overlap to permit high-quality photogrammetry and generation of reflectance imagery and multispectral indices. The objective of obtaining these ground control points was to constrain the photogrammetric products constructed from the aerial images taken, by providing survey-quality ground validation, which far exceeds the accuracy that can be provided from the photo geolocations alone.

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DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9PP35F4

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