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A new 30-m spatial resolution global shoreline vector (GSV) was developed from annual composites of 2014 Landsat satellite imagery. The semi-automated classification of the imagery was accomplished by manual selection of training points representing water and non-water classes along the entire global coastline. Polygon topology was applied to the GSV, and the resulting polygons were mapped into four size classes of islands: Continental Mainlands, Big Islands (greater than 1 km2), Small Islands (less than or equal to 1 km2 and greater than or equal to 0.0036 km2), and Very Small Islands (less than 0.0036 km2).
Categories: Data;
Types: ArcGIS Map Package,
Downloadable;
Tags: Geography,
Remote Sensing,
USGS Science Data Catalog (SDC),
global,
islands
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. The substrate enhancement pilot project (SEPP) extent GIS layer represents an area where an artificial substrate will be placed. The artificial substrate, consisting of a mixed size class of gravel, is aimed at providing a more suitable substrate for sturgeon eggs and early-life rearing habitat. The location of the SEPP extent was created by analyzing the egg-mat network, bathymetric features, surficial sediment facies, and streamflow...
This dataset displays the boundaries of Intact Forest Landscapes for the islands in the Tongass region of the state of Alaska. Intact Forest Landscapes for islands are defined as areas at least 500 hectares that are absent of human disturbance visible on satellite imagery (e.g., roads, logging, mining, settlement). For more information, see the full report, available on the Global Forest Watch website (www.globalforestwatch.org), or the Conservation Biology Institute website (http://www.consbio.org/cbi/projects/show.php?page=alaska).
This dataset depicts roads built on the Tongass National Forest during the 1980s. This dataset is part of a larger analysis of road building and timber harvest on the Tongass National Forest, compiled for the report Scientific Basis for Roadless Area Conservation (http://www.consbio.org/cbi/projects/show.php?page=roadless/roadless.htm), pp 70-73. Road segments from a US Forest Service roads layer were attributed to the most likely decade in which the road was built, as determined by an analysis of connectivity to clearcuts on the Tongass National Forest from that decade. It was assumed that following 1960, harvests required access to mills or extraction sites, and thus roads connecting to them were most likely built...
These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Acoustic doppler current profiling (ADCP) data was collected to describe streamflow characteristics including total streamflow, velocity magnitude and secondary flow structure, and backscatter intensity at 29 cross-sections at the Myrtle Creek Bend on the Kootenai River on June 3, 2013. Each of the 29 cross-sections consisted of 4 transects or bank-to-bank coverage to obtain a representative velocity pattern. The mean daily streamflow...
We investigated whether foraging habitat, sex, or fidelity to a foraging area effected blood mercury concentrations in western gulls (Larus occidentalis) from three colonies on the west coast of the United States. Dataset includes total mercury concentrations in western gulls from three colony locations and associated foraging habitat of individual gulls. These data support the following publication: Clatterbuck, C.A., Lewison, R.L., Orben, R.A., Ackerman, J.T., Torres, L.G., Suryan, R.M., Warzybok, P., Jahncke, J. and Shaffer, S.A., 2021. Foraging in marine habitats increases mercury concentrations in a generalist seabird. Chemosphere, p.130470.
Categories: Data;
Tags: Environmental Health,
Pacific Ocean,
USGS Science Data Catalog (SDC),
Wildlife Biology,
biota,
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