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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes one new mean high water (MHW) shoreline extracted from lidar data collected in 2017 for the entire coastal region of North Carolina which is divided into four subregions: northern North Carolina...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. This 2018 data release includes rates that incorporate...
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Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers and planners understand which areas of the coast are vulnerable to change. This data release includes a compilation of previously published historical shoreline positions for Virginia spanning 148 years (1849-1997), and two new mean high water (MHW) shorelines extracted from lidar data collected...
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This dataset contains drainage basin boundaries for 253 U.S. Geological Survey (USGS) streamgages in Alaska that had at least 5 years of daily streamflow through September 30, 2017, three of which were delineated for alternate basin conditions. This compilation includes selected boundaries produced in 2014 (https://doi.org/10.5066/P143KNEJ). Additional basin boundaries were delineated from the streamgage location to the nearest USGS Watershed Boundary Dataset (WBD) HUC boundary and along HUC boundaries from that intersection to the basin headwaters. Streamgages selected for drainage basin delineation included streamgages in Alaska that met selection criteria for a statewide study of seasonal flow regimes (Curran...
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The maximum extent of Cretaceous onlap is generalized from Plate 3, Structure at the base and subcrop below Mesozoic marine section, Gulf of Mexico Basin (compiled by A. Salvador) in Volume J, The Geology of North America (1991). This dataset contains basic data and interpretations developed and compiled by the U.S. Geological Survey's Framework Studies and Assessment of the Gulf Coast Project. Other major sources of data include publicly available information from state agencies as well as publications of the U.S. Geological Survey and other scientific organizations. In cases where company proprietary data were used to produce various derivatives such as contour surfaces, the source is cited but the data are not...
Categories: Data, pre-SM502.8; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 47 = Western Gulf, 48 = East Texas Basin, 49 = Louisiana-Mississippi Salt Basins, 50 = Florida Peninsula, AL, All tags...
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These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
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This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
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This dataset represents the railways within a 5km buffer of the Crown of the Continent Ecosytem. This dataset contains all freely available spatial information on railways within the Crown of the Continent. Due to the free nature of the data, it is of mixed quality and should not necessarily be considered an exhaustive representaion.
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Attempts to stabilize the shore can greatly influence rates of shoreline change. Beach nourishment in particular will bias rates of observed shoreline change toward accretion or stability, even though the natural beach, in the absence of nourishment, would be eroding. Trembanis and Pilkey (1998) prepared a summary of identifiable beach nourishment projects in the Gulf Coast region that had been conducted before 1996. Those records were used to identify shoreline segments that had been influenced by beach nourishment. Supplemental information regarding beach nourishment was collected from agencies familiar with nourishment projects in the State. All records were compiled to create a GIS layer depicting the spatial...
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The Great Plains Landscape Conservation Cooperative (GPLCC, https://www.fws.gov/science/catalog) is a partnership that provides applied science and decision support tools to assist natural resource managers conserve plants, fish and wildlife in the mid- and short-grass prairie of the southern Great Plains. It is part of a national network of public-private partnerships — known as Landscape Conservation Cooperatives (LCCs, http://www.fws.gov/science/shc/lcc.html) — that work collaboratively across jurisdictions and political boundaries to leverage resources and share science capacity. The Great Plains LCC identifies science priorities for the region and helps foster science that addresses these priorities to support...
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This dataset is the survey area footprint for the beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, Minnesota. The survey footprint represents a LAS dataset of terrestrial light detection and ranging (lidar) of beach topography and multibeam sonar bathymetry to approximately 1 kilometer (0.62 miles) offshore, for an approximately 2.27 square kilometer surveyed area. The surveys were completed July 20 - July 23, 2020.
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This dataset is a LAS dataset containing light detection and ranging (lidar) data and sonar data representing the beach and near-shore topography of Minnesota Point near the Superior Entry of Lake Superior, Duluth, Minnesota. The LAS data sets were used to create a digital elevation model (DEM) of the approximately 2.27 square kilometer surveyed area. Lidar data were collected using a boat mounted Velodyne unit. Multibeam sonar data were collected using a Norbit integrated wide band multibeam system compact (iWBMSc) sonar unit. Single-beam sonar data were collected using a Ceescope sonar unit. All elevation data were collected September 15-17, 2021. Methodology similar to Wagner, D.M., Lund, J.W., and Sanks, K.M.,...


map background search result map search result map PLJV's Probable Playas Version 4 NorWeST Predicted Stream Temp Lines Upper Snake Bear Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Railways in the Crown of the Continent Ecosystem Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana Beach Nourishment in the Gulf of Mexico Ports of the United States Multibeam Echosounder, Reson T-20P tracklines, USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (Esri polyline shapefile, GCS WGS 84) Intersects for Martha's Vineyard, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Intersects for the Buzzards Bay coastal region in Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.0 Development: Development delineation: Cape Lookout, NC, 2014 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 Cretaceous Onlap, Gulf of Mexico Basin [cretonlapg] LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) A GIS compilation of vector shorelines for the Virginia coastal region from the 1840s to 2010s Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Baseline for the North Carolina coastal region from Cape Hatteras to Cape Lookout (NCcentral) Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Selected Basin Boundaries for USGS Streamgages in Alaska through 2019 Minnesota Point: Survey area of beach topography and near-shore bathymetry of Lake Superior at Minnesota Point, Duluth, MN, July 2020 LAS dataset of lidar, single-beam, and multibeam sonar data collected of Minnesota Point near the Superior Entry of Lake Superior, Duluth, MN, September 2021 (ver. 2.0, September 2024) Development: Development delineation: Cape Lookout, NC, 2014 Multibeam Echosounder, Reson T-20P tracklines, USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (Esri polyline shapefile, GCS WGS 84) Long and short-term shoreline change rate transects for the northern North Carolina coastal region (NCnorth), calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 Baseline for the North Carolina coastal region from Cape Hatteras to Cape Lookout (NCcentral) Intersects for coastal region of Virginia generated to calculate short-term shoreline change rates using the Digital Shoreline Analysis System version 5.1 Long-term shoreline change rates for the Virginia coastal region, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1 A GIS compilation of vector shorelines for the Virginia coastal region from the 1840s to 2010s Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana Railways in the Crown of the Continent Ecosystem Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) Beach Nourishment in the Gulf of Mexico NorWeST Predicted Stream Temp Lines Upper Snake Bear PLJV's Probable Playas Version 4 Cretaceous Onlap, Gulf of Mexico Basin [cretonlapg] Selected Basin Boundaries for USGS Streamgages in Alaska through 2019 Ports of the United States