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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 data release contains luminescence data from the manuscript "Application of a luminescence-based sediment transport model" by Gray et al. It contains data from the luminescence measurements and experiments in the paper.
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This data release presents structure-from-motion products derived from imagery taken along the North Carolina coast in response to storm events and the recovery process. USGS researchers use the aerial photogrammetry data and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. This research is part of the Remote Sensing Coastal Change Project. Products include digital elevation models and orthorectified imagery (RGB averaged products) created from aerial imagery surveys with precise Global Navigation Satellite Systen (GNSS) navigation data flown in a piloted fixed wing aircraft (available here https://coastal.er.usgs.gov/data-release/doi-P91KB9SF/)....
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Three components of the scientific research included a literature review, a geospatial database, and ethnographic research. The literature review surveyed the professional, grey, and peer-reviewed literature on spatial conflicts in the marine environment. Summaries of the literature tracked how stakeholders resolved, mitigated, and addressed space use conflicts. A geospatial database was developed to include available GIS data and new GIS data produced by the study team. The ethnographic data collection occured by engaging individuals and small groups in one on one guided discussions. In addition, the study team convened larger group meetings to describe the study and to develop contacts for further research.
Abstract: Biological indicators, particularly benthic macroinvertebrates, are widely used and effective measures of the impact of urbanization on stream ecosystems. A multimetric biological index of urbanization was developed using a large benthic macroinvertebrate dataset (n = 1,835) from the Baltimore, Maryland, metropolitan area and then validated with datasets from Cleveland, Ohio (n = 79); San Jose, California (n = 85); and a different subset of the Baltimore data (n = 85). The biological metrics used to develop the multimetric index were selected using several criteria and were required to represent ecological attributes of macroinvertebrate assemblages including taxonomic composition and richness (number...
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This data release consists of rasters representing the probability of exceeding multiple thresholds of nitrate in shallow groundwater for the Mid-Atlantic region of the United States. Each raster represents the results from multiple spatial-probability models that were developed using U.S. Geological Survey water-quality data in conjunction with geographic data such as land cover, geology, and soils. There are 10 rasters of predictions (PRED_1 through PRED_10) and 10 rasters of the highest possible probability (UPPER_1 through UPPER_10). The highest probability is the upper limit of the prediction confidence interval calculated as part of each model. Geospatial data provided are in the North American Albers equal-area...
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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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Nature’s Network Conservation Design depicts an interconnected network of lands and waters that, if protected, will support a diversity of fish, wildlife, and natural resources that the people of the Northeast and Mid-Atlantic region depend upon. This map serves as the “cover page” for the Nature’s Network (naturesnetwork.org) suite of products: it outlines some of the most important natural areas in the region and provides an entry point to learn more about the information used to identify them. The Conservation Design represents a combination of three Nature’s Network products: 1) the terrestrial core-connector network, 2) aquatic core areas, and 3) core habitat for imperiled species. The Terrestrial Core-connector...
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This data release presents structure-from-motion (SfM) products derived from aerial imagery collected along the North Carolina coast in response to storm events and the recovery process. U.S. Geological Survey (USGS) researchers use the aerial imagery and products to assess future coastal vulnerability, nesting habitats for wildlife, and provide data for hurricane impact models. This research is part of the Remote Sensing Coastal Change Project. Products include digital elevation models and orthorectified imagery (RGB-averaged products) created from aerial imagery surveys with precise Global Navigation Satellite System (GNSS) navigation data flown in a piloted fixed-wing aircraft. The products span the coast over...
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Line-Events for coastal landforms identified in National Agricultural Imagery Program maps and the landforms’ relative vulnerability to horizontal erosion due to sea-level rise ranking are linear-referenced using 1:24,000-scale resolution U.S. Geological Survey National Hydrography Dataset (NHD ) Coastline vector data to create geodata to attribute the conterminous U.S. coastline, Using the Hydrographic Event Management (HEM) tool (https://www.usgs.gov/national-hydrography/tools).), The linear-referenced geodata track along the NHD Coastline in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore...
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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 NFHAP Coastal Spatial Framework and Indicator Datasets consist of a geospatial base layer developed in ArcGIS, and associated data fields joined to the spatial framework. The Coastal Spatial Framework is a layer of 612 distinct polygons covering coastal areas of the Continental U.S. Polygons represent either coastal watersheds (land) or coastal waters (estuaries, inshore marine, offshore marine),and are classified into six regions and 22 nested subregions. Each polygon is assigned a unique code (UniqueID) to provide location reference for indicator data, and enable joins to separate data tables.s for information recorded in the Bibliography and Assessment tables. Key indicator data fields attributed to each...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, ACFHP, Alabama, Assessment, All tags...
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Three components of the scientific research included a literature review, a geospatial database, and ethnographic research. The literature review surveyed the professional, grey, and peer-reviewed literature on spatial conflicts in the marine environment. Summaries of the literature tracked how stakeholders resolved, mitigated, and addressed space use conflicts. A geospatial database was developed to include available GIS data and new GIS data produced by the study team. The ethnographic data collection occured by engaging individuals and small groups in one on one guided discussions. In addition, the study team convened larger group meetings to describe the study and to develop contacts for further research.


    map background search result map search result map NFHP 2010 National Estuary Assessment Results Space Use Conflict Study The space use conflict archive file, containing shapefile and TIFF geospatial data. Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Nature’s Network Conservation Design, Northeast U.S. Data release for application of a luminescence-based sediment transport model Aerial Photogrammetry Data and Products of the North Carolina coast: 2018-10-06 to 2018-10-08, post-Hurricane Florence Probability of nitrate concentrations exceeding multiple thresholds in shallow groundwater, Mid-Atlantic Region of the United States Short-term shoreline change rates for the Virginia coastal region 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 Baseline for the Virginia coastal region, generated to calculate shoreline change rates 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 Intersects for the coastal region of Virginia generated to calculate long-term shoreline change rates 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 Short-term shoreline change rates for the Virginia coastal region using the Digital Shoreline Analysis System version 5.1 Intersects for the coastal region of Virginia generated to calculate long-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 Baseline for the Virginia coastal region, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Data release for application of a luminescence-based sediment transport model Probability of nitrate concentrations exceeding multiple thresholds in shallow groundwater, Mid-Atlantic Region of the United States Nature’s Network Conservation Design, Northeast U.S. Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline NFHP 2010 National Estuary Assessment Results Space Use Conflict Study The space use conflict archive file, containing shapefile and TIFF geospatial data.