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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using a combination of Digital Elevation Model (DEM) and National Agriculture Imagery Program (NAIP) multispectral imagery. This dataset combined with "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The eight distinct cover/community types identified are: High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus, Scirpus pungens,...
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This dataset represents salt marsh communities in the Northeast Atlantic coast. The classification was produced using National Agriculture Imagery Program (NAIP) multispectral imagery for areas where no DEM was available to complete the full classification. This dataset combined with "Tidal Marsh Vegetation Classification, DEM, Northeast U.S." provides a contiguous classification of tidal marsh cover types from coastal Maine to Virginia. The six distinct cover/community types identified are: 1. High marsh: Area flooded during spring tides related to the lunar cycle and dominated by Spartina patens, Distichlis spicata, Juncus gerardii, and short form Spartina alterniflora. Other species include Juncus roemerianus,...
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The GIS shapefile "Census summary of southern sea otter 2016" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2016 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. This Shape file includes a series of summary statistics derived from the raw census...
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The GIS shapefile Census_sum_2019 provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2019 range-wide census. The USGS spring range-wide sea otter census has been undertaken each year since 1982, using consistent methodology involving both ground-based and aerial-based counts. The spring census provides the primary basis for gauging population trends by State and Federal management agencies. This shapefile includes a series of summary statistics derived from the raw census data, including sea otter density (otters per square kilometer of habitat), linear density (otters per kilometer...
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The GIS shapefile "Census summary of southern sea otter 2018" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2018 range-wide census. The USGS spring range-wide sea otter census has been undertaken each year since 1982, using consistent methodology involving both ground-based and aerial-based counts. The spring census provides the primary basis for gauging population trends by State and Federal management agencies. This Shape file includes a series of summary statistics derived from the raw census data, including sea otter density (otters per square km of habitat), linear density...
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We summarize available information on Pacific walrus haulouts from available reports, interviews with coastal residents and aviators, and personal observations of the authors. We provide this in the form of a georeferenced database that may be queried and displayed with standard geographic information system and database management software. The database contains 150 records of Pacific walrus haulouts, with a summary of basic characteristics on maximum haulout size, age-sex composition, season of use, and decade of most recent use. Citations to reports are provided as a bibliographic database.
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This part of the data release presents a shapefile that includes a spatial index of orthoimagery and elevation data describing the Alaskan coastline from Icy Cape to Cape Prince of Wales. The data products referenced in this index include orthoimagery, digital surface models, and elevation point clouds which were generated from aerial imagery using structure-from-motion methods. Fairbanks Fodar, a contracted mapping service, collected the aerial imagery in 2016 and created all of the data products referenced here. Due to the enormous extent of this dataset, the products are split into separate files with more manageable sizes. Each polygon in this shapefile index provides a geographic outline of a data file’s coverage,...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: CMHRP, Cape Beaufort, Cape Espenberg, Cape Krusenstern, Cape Lewis, All tags...
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This point shapefile approximates locations within 20 km of the North Pacific Coastline, as defined by the "World Country Boundaries (Generalized)" shapefile distributed by ESRI as part of their Data & Maps data series. They are based on raster data at 4 km resolution. Therefore there are between 3-5 points extending out from each location along the shoreline (at 4 km intervals).
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The GIS shapefile "Range extent of southern sea otters 2017" is a simple polyline representing the geographic distribution of the southern sea otter (Enhydra lutris nereis) in mainland California, based on data collected during the spring 2017 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band...
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The GIS shapfile "Range extent of southern sea otter 2016" is a simple polyline representing the geographic distribution of the southern sea otter (Enhydra lutris nereis) in mainland California, based on data collected during the spring 2016 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of...
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Geophysical and geological survey data were collected off Town Neck Beach in Sandwich, Massachusetts, in May and July 2016. Approximately 130 linear kilometers of subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, sea floor photographs, and (or) video at 26 sites within the geophysical survey area. Sediment grab samples were collected at 19 of the 26 sampling sites and video and (or) photographic imagery of the sea floor were taken at all 26 sites. These survey data are used to characterize the sea floor by identifying sediment-texture, seabed morphology, and underlying geologic structure and stratigraphy. Data collected...
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The GIS layer "Census_sum_15" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2015 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. This Shape file includes a series of summary statistics derived from the raw census data, including sea otter density...
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Geophysical and geological survey data were collected off Town Neck Beach in Sandwich, Massachusetts, in May and July 2016. Approximately 130 linear kilometers of subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, sea floor photographs, and (or) video at 26 sites within the geophysical survey area. Sediment grab samples were collected at 19 of the 26 sampling sites and video and (or) photographic imagery of the sea floor were taken at all 26 sites. These survey data are used to characterize the sea floor by identifying sediment-texture, seabed morphology, and underlying geologic structure and stratigraphy. Data collected...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Ocean, CMGP, Cape Cod Bay, Coastal and Marine Geology Program, Gulf of Maine, All tags...
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Landforms along the Pacific, Gulf of Mexico, and Atlantic coastlines for the conterminous United States are attributed with the relative vulnerability of horizontal erosion due to sea-level rise to characterize coastal zone stability. The position and extent of landforms are geospatially indexed as line-events where these coastal zone features are intersected by the linear-referenced 2013 - 2014 U.S. Geological Survey National Hydrography Dataset Coastline, which corresponds to the National Oceanic and Atmospheric Administration (NOAA) 2013 - 2014 mean high water level datum delineated in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach...
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The GIS layer "Range_extent_15" is a simple polyline representing the geographic distribution of the southern sea otter (Enhydra lutris nereis) in mainland California, based on data collected during the spring 2015 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland range) is considered to comprise a band of potential habitat stretching...
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The GIS shapefile "Census summary of southern sea otter 2017" provides a standardized tool for examining spatial patterns in abundance and demographic trends of the southern sea otter (Enhydra lutris nereis), based on data collected during the spring 2017 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. This Shape file includes a series of summary statistics derived from the raw census...
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The GIS shapefile "Extra limit observations 2016" is a point layer representing the locations of sea otter sightings that fall outside the officially recognized range of the southern sea otter (Enhydra lutris nereis) in mainland California. These data were collected during the spring 2016 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California (the mainland...
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Geophysical and geological survey data were collected off Town Neck Beach in Sandwich, Massachusetts, in May and July 2016. Approximately 130 linear kilometers of subbottom (seismic-reflection) and 234-kilohertz interferometric sonar (bathymetric and backscatter) data were collected along with sediment samples, sea floor photographs, and (or) video at 26 sites within the geophysical survey area. Sediment grab samples were collected at 19 of the 26 sampling sites and video and (or) photographic imagery of the sea floor were taken at all 26 sites. These survey data are used to characterize the sea floor by identifying sediment-texture, seabed morphology, and underlying geologic structure and stratigraphy. Data collected...
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This dataset represents a combined file indicating where a Digital Elevation Model (DEM) was and was not used in the tidal marsh classifications "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S." and "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.". For more information about the development of the data please contact Mo Correll at Maureen.correll@maine.edu. "Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S.", "Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S.", and "DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S." are products of the Saltmarsh Habitat and Avian Research Program (www.tidalmarshbirds.org).
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The GIS shapefile "Extra limit counts of southern sea otters 2017" is a point layer representing the locations of sea otter sightings that fall outside the officially recognized range of the southern sea otter (Enhydra lutris nereis) in mainland California. These data were collected during the spring 2017 range-wide census. The USGS range-wide sea otter census has been undertaken twice a year since 1982, once in May and once in October, using consistent methodology involving both ground-based and aerial-based counts. The spring census is considered more accurate than the fall count, and provides the primary basis for gauging population trends by State and Federal management agencies. Sea otter distribution in California...


map background search result map search result map 2015 Census Summary Shapefile 2015 Range Extent Shapefile Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Annual California Sea Otter Census: 2016 Census Summary Shapefile Annual California Sea Otter Census: 2016 Extra limit observations shapefile Annual California Sea Otter Census: 2016 Range Extent Shapefile Pacific Walrus Coastal Haulout Database 1852-2016 Temperate Northern Pacific Nearshore Points shapefile Annual California Sea Otter Census: 2017 Census Summary Shapefile Annual California Sea Otter Census: 2017 Extra Limit Observations Shapefile Annual California Sea Otter Census: 2017 Range Extent Shapefile Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Annual California Sea Otter Census: 2018 Census Summary Shapefile Survey lines along which seismic reflection data were collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA 2-meter bathymetric data collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA (bathymetry GeoTIFF) Survey lines along which swath sonar (bathymetric and backscatter) data were collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA Annual California Sea Otter Census: 2019 Census Summary Shapefile Tile index for Alaska coastal orthoimagery and elevation data: Icy Cape to Cape Prince of Wales, 2016 Survey lines along which seismic reflection data were collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA Survey lines along which swath sonar (bathymetric and backscatter) data were collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA 2-meter bathymetric data collected in 2016 by the U.S. Geological Survey off Town Neck Beach Sandwich, Massachusetts during field activity 2016-017-FA (bathymetry GeoTIFF) Annual California Sea Otter Census: 2017 Extra Limit Observations Shapefile 2015 Range Extent Shapefile Annual California Sea Otter Census: 2017 Range Extent Shapefile Annual California Sea Otter Census: 2016 Range Extent Shapefile 2015 Census Summary Shapefile Annual California Sea Otter Census: 2016 Census Summary Shapefile Annual California Sea Otter Census: 2017 Census Summary Shapefile Annual California Sea Otter Census: 2018 Census Summary Shapefile Annual California Sea Otter Census: 2019 Census Summary Shapefile Tile index for Alaska coastal orthoimagery and elevation data: Icy Cape to Cape Prince of Wales, 2016 Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. DEM Difference in Tidal Marsh Vegetation Classification, 3m, Northeast U.S. Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Pacific Walrus Coastal Haulout Database 1852-2016 Temperate Northern Pacific Nearshore Points shapefile