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The spring 2017 mainland sea otter count began on April 30, and although the shore-based counts were completed by May 12, 2017, the aerial counts were not completed until July 12, 2017. Overall viewing conditions this year were good, although not as good as conditions experienced during the 2016 spring census (View Score 2.4 versus 3.1, where 0=poor, 1=fair, 2=good, 3=very good, and 4=excellent). The surface canopies of kelp (Macrocystis sp.) were considered by most participants to be considerably below normal for this time of year in most areas of the mainland range. Sea otters along the mainland coast were surveyed from Pillar Point in San Mateo County in the north to Rincon Point in the south at the Santa Barbara/Ventura...
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This dataset represents an archived record of annual California sea otter surveys from 1985-2014. Survey procedures involve counting animals during the "spring survey" -- generally beginning in late April or early May and usually ending in late May early June but may extend into early July, depending on weather conditions. Annual surveys are organized by survey year and within each year, three shapefiles are included: census summary of southern sea otter, extra limit counts of southern sea otter, and range extent of southern sea otter. The surveys, conducted cooperatively by scientists of the U.S. Geological Survey, California Department of Fish and Wildlife, U.S. Fish and Wildlife Service and Monterey Bay Aquarium...
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This link leads you to NOAA's Digital Coast LiDAR data resource homepage. In order to find this dataset within the NOAA site, which covers the north coast of Oregon, follow these instructions: In the State Search window on the right side of the screen, select Oregon in the “Find Data In:” drop-down. Then type “2009 Oregon” in the “(Optional) Limit by Keywords” box and click Search. Click to view FGDC Metadata Oregon LiDAR Mapping Topographic LiDAR data provided by the Oregon Department of Geology and Mineral Industries. Vertical accuracy: Meets or exceeds 7.31 centimeter vertical root mean square error (RMSEz). Horizontal accuracy: Laser horizontal errors are a function of 1/3000th flight altitude above...
Categories: Web Site; Tags: Coast, LiDAR, Oregon
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Locations of Lake Michigan Coastal Wetlands (40 acres or more).
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Two 21-day field operations were conducted in 1997 and 1998 in the estuaries and on the inner continental shelf off the northern Oregon and southern Washington coast. These cruises aboard the R/V Corliss were run in order to generate reconnaissance maps of the seafloor geology and the shallow subsurface stratigraphy using sidescan-sonar and seismic-reflection mapping techniques. The 1998 cruise also collected sediment grab samples, bottom photographs, and video images to verify the sidescan-sonar imagery and to document the seafloor geology. The combination of these data with previously collected sediment sample data (Roberts, 1974; Nittrouer, 1978; and Smith et. al., 1980) has been used to define the extent and...
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The Sea Surface Temperature (SST) data of the nearshore region of the North Pacific show temperature ranges in degrees C using points whose locations correspond to the centroids of AVHRR Pathfinder version 5 monthly, global, 4 km data set (PFSST V50). The pathfinder rasters are available from the Physical Oceanography Distributed Active Archive Center (PO.DAAC), hosted by NASA JPL. The data points in this dataset lie within a 20 km buffer from the GSHHS (Global Self-consistent, Hierarchical, High-resolution Shoreline) coastline. The GSHHS vector data are available from the National Geophysical Data Center (NGDC). Furthermore, each point in the SST dataset is categorized by the ecoregion in which it is located. This...
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The dataset was developed for submission to the USGS National Hydrography Dataset (NHD). As the SEAK Hydro database evolves, so to will the metadata for this dataset. Until noted otherwise, please reference this metadata for an older version of the source data. This dataset contains polygons describing high and low tide shorelines with delineated intertidal areas for Southeast Alaska.
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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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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.
The dominant characteristics of wave energy variability in the eastern North Pacific are described from NOAA National Data Buoy Center (NDBC) buoy data collected from 1981 to 2003. Ten buoys at distributed locations were selected for comparison based on record duration and data continuity. Long-period (LP) [T > 12] s, intermediate-period [6 ≤ T ≤ 12] s, and short-period [T < 6] s wave spectral energy components are considered separately. Empirical orthogonal function (EOF) analyses of monthly wave energy anomalies reveal that all three wave energy components exhibit similar patterns of spatial variability. The dominant mode represents coherent heightened (or diminished) wave energy along the West Coast from Alaska...
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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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This is a land cover dataset developed by Florida Natural Areas Inventory for coastal conservation planning purposes. It is derived from two primary sources: 1) The Florida Cooperative Land Cover Map(CLC), v.2, a hybrid land cover that combines best available statewide and local land cover data sources; and 2) a revision of the CLC based on review of 2009 – 2011 high resolution aerial photography for a subset of remaining natural uplands that correspond to areas identified in the Assessment of Florida’s Remaining Coastal Upland Natural Communities (Johnson and Gulledge 2005). All data were clipped to a coastal analysis zone defined as 3 m elevation plus 1 kmbuffer. The classification scheme is a modified version...
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The spring 2016 mainland sea otter count began on 1 May and was completed on 11 May. Overall viewing conditions this year were very good, being more favorable than those during the 2015 spring census (3.1 vs. 2.6, where 0=poor, 1=fair, 2=good, 3=very good, and 4=excellent) and contributed to the relatively short duration of the count. The surface canopies of kelp (Macrocystis sp.) were considered by most participants to be below normal for this time of year in the northern half of the range and about normal in the southern half. Sea otters along the mainland were surveyed (using a combination of ground-based and aerial-based surveys) from Pillar Point in San Mateo County in the north, to Rincon Point in the south...
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This is a land cover dataset developed by Florida Natural Areas Inventory for coastal conservation planning purposes. It is derived from two primary sources: 1) The Florida Cooperative Land Cover Map(CLC), v.2, a hybrid land cover that combines best available statewide and local land cover data sources; and 2) a revision of the CLC based on review of 2009 – 2011 high resolution aerial photography for a subset of remaining natural uplands that correspond to areas identified in the Assessment of Florida’s Remaining Coastal Upland Natural Communities (Johnson and Gulledge 2005). All data were clipped to a coastal analysis zone defined as 3 m elevation plus 1 kmbuffer. The classification scheme is a modified version...
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This is a link to NOAA's Coastal LiDAR Data access viewer. There are many LiDAR datasets linked to this source and available for download.
Categories: Web Site; Tags: Coast, LiDAR
Persistent spring and summer northerly surface winds are the defining climatological feature of the western coast of North America, especially south of the Oregon coast. Northerly surface winds are important for upwelling and a vast array of other biological, oceanic, and atmospheric processes. Intermittence in northerly coastal surface wind is characterized and wind events are quantitatively defined using coastal buoy data south of Cape Mendocino on the northern California coast. The defined wind events are then used as a basis for composites in order to explain the spatial evolution of various atmospheric and oceanic processes. Wind events involve large-scale changes in the three-dimensional atmospheric circulation...
Categories: Publication; Types: Citation; Tags: coast, events, wind
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There are three main components to the ESI: shoreline habitats, sensitive biological resources, and human-use resources. The shoreline and intertidal areas are ranked based on sensitivity determined by: (1) Shoreline type (substrate, grain size, tidal elevation, origin); (2) Exposure to wave and tidal energy; (3) Biological productivity and sensitivity; and (4) Ease of cleanup. The biology layers focus on threatened/endangered species, areas of high concentration and areas where sensitive life stages may occur. Supporting data tables provide species/location-specific abundance, seasonality, status, life history, and source information Human use resources mapped include managed areas (parks, refuges, critical habitats,...
The goal of this project is to create critically needed coastal fog datasets. Anticipated products from the collaboration between on-the-ground natural resource managers and a multidisciplinary coalition of physical scientists are: 1) a compilation of existing fog related data from multiple sources: satellite (AVHRR, GOES, Modis, Landsat), NOAA buoy , and airport and meteorological stations, 2) USGS Open File report documenting the results of a multiday working session with climatologists, remote sensing specialists, fog modelers, statisticians, and natural resource managers, convened to review the data, examine and assess the correlations between data streams and models, specify initial parameters to be extracted...
Categories: Data, Project; Tags: evapotranspiration, 2011, California Landscape Conservation Cooperative, California coast, Coastal, All tags...


map background search result map search result map Coast boundary basemap Digital Coast LiDAR Data Resource 2009 Oregon Department of Geology and Mineral Industries LiDAR - North Coast Coastal BC Bathymetry Environmental Sensitivity Index, Northern California Southeast Alaska Intertidal Areas and Shorelines FL_North_LandCoverCoastal_FNAI FL_South_LandCoverCoastal_FNAI Lake Michigan basin, USA: coastal wetlands Annual California Sea Otter Census - 2016 Spring Census Summary Annual California Sea Otter Census: 2016 Census Summary Shapefile Pacific Walrus Coastal Haulout Database 1852-2016 Annual California Sea Otter Census—2017 Spring Census Summary Annual California Sea Otter Census—1985-2014 Spring Census Summary Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Coast boundary basemap Annual California Sea Otter Census - 2016 Spring Census Summary Annual California Sea Otter Census: 2016 Census Summary Shapefile Annual California Sea Otter Census—2017 Spring Census Summary Environmental Sensitivity Index, Northern California 2009 Oregon Department of Geology and Mineral Industries LiDAR - North Coast Annual California Sea Otter Census—1985-2014 Spring Census Summary FL_South_LandCoverCoastal_FNAI Lake Michigan basin, USA: coastal wetlands FL_North_LandCoverCoastal_FNAI Tidal Marsh Vegetation Classification, no DEM, 3m, Northeast U.S. Tidal Marsh Vegetation Classification, DEM, 3m, Northeast U.S. Southeast Alaska Intertidal Areas and Shorelines Coastal BC Bathymetry Digital Coast LiDAR Data Resource Pacific Walrus Coastal Haulout Database 1852-2016