Dataset accompanying Buscombe et al.: Human-in-the-loop segmentation of earth surface imagery

The datasets used in this study are provided in 7 folders: “dataset A”,
containing data from Sandwich Town Neck Beach on Cape Cod, Massachusetts.
These images are published as a USGS data series (Sherwood et al., 2021)
are publicly available at https://doi.org/10.5066/P9BFD3YH “dataset B”,
containing data from North and South Carolina collected immediately after
Hurricane Florence in October 2018. National Geodetic Survey emergency
response imagery courtesy of the National Oceanic and Atmospheric
Administration, available at https://storms.ngs.noaa.gov “dataset C”,
containing some examples of shoreline environments captured by a
low-altitude aircraft. These images are published as a USGS data series
(Kranenburg et al., 2020) are publicly available at
https://doi.org/10.5066/P9CA3D8P “dataset D”, containing data collected
from the Pearl River and its tributary the Bogue Chitto, and from the
Chickasawhay, Buoy and Leaf tributaries of the Pascagoula River, in spring
2021. Used with permission from U.S. Fish and Wildlife Service “dataset
E”, containing Sentinel-2 satellite images of coastal lagoon environments
in Salinas Rivermouth Natural Preserve and National Wildlife Refuge in
Monterey, California. Sentinel-2 imagery courtesy of European Space Agency
(ESA) “dataset F”, containing Landsat-8 of Cape Hatteras, Cape Hatteras
National Seashore, North Carolina. Landsat-8 imagery is courtesy of U.S.
Geological Surve “code”, containing a version of the code used to generate
the results contained in this data repository. Full details about this
code can be obtained from the github code repository
(https://github.com/dbuscombe-usgs/dash_doodler) and website
(https://dbuscombe-usgs.github.io/dash_doodler/).