{
    "tag": 5826,
    "title": "Shorelines of the Central Beaufort Sea, Alaska coastal region (Hulahula River to the Colville River) used in shoreline change analysis",
    "pubdate": "2017",
    "sername": null,
    "series_name": null,
    "issue": "10.5066\/F72Z13N1",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/ScienceBase\/DR_F72Z13N1\/CentralBeaufort_shorelines.faq.html",
    "format": null,
    "email": null,
    "descript": "This dataset includes shorelines from 63 years ranging from 1947 to 2010 for the north coast of Alaska between the Hulahula River and the Colville River. Shorelines were compiled from topographic survey sheets (T-sheets; National Oceanic and Atmospheric Administration (NOAA)), aerial orthophotographs (U.S. Geological Survey (USGS), National Aeronautics and Space Administration (NASA), Conoco-Philips (CP), British Petroleum Alaska (BPXA)), satellite imagery (State of Alaska), and lidar elevation data (USGS). Historical shoreline positions serve as easily understood features that can be used to describe the movement of beaches through time. These data are used to calculate rates of shoreline change for the U.S. Geological Survey's National Assessment of Shoreline Change Project. Rates of long-term and short-term shoreline change were generated in a GIS using the Digital Shoreline Analysis System (DSAS) version 4.3. DSAS uses a measurement baseline method to calculate rate-of-change statistics. Transects are cast from the reference baseline to intersect each shoreline, establishing measurement points used to calculate shoreline change rates.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Gibbs, Ann E.",
            "role": "Author"
        },
        {
            "name": "Ohman, Karin A.",
            "role": "Author"
        },
        {
            "name": "Coppersmith, Ryan",
            "role": "Author"
        },
        {
            "name": "Richmond, Bruce M.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "1799",
            "name": "coastal processes",
            "scope": "Processes unique to coastal areas including longshore transport, beach erosion, storm surge, shoreline change, delta formation, barrier island migration, beach stabilization by vegetation"
        },
        {
            "thcode": 15,
            "code": "007",
            "name": "environment",
            "scope": "Environmental resources, protection and conservation, for example environmental pollution, waste storage and treatment, environmental impact assessment, monitoring environmental risk, nature reserves, landscape, water quality, air quality, environmental modeling"
        },
        {
            "thcode": 15,
            "code": "008",
            "name": "geoscientificInformation",
            "scope": "Information pertaining to earth sciences, for example geophysical features and processes, geology, minerals, sciences dealing with the composition, structure and origin of the earth's rocks, risks of earthquakes, volcanic activity, landslides, gravity information, soils, permafrost, hydrogeology, groundwater, erosion"
        },
        {
            "thcode": 15,
            "code": "014",
            "name": "oceans",
            "scope": "Features and characteristics of salt water bodies (excluding inland waters), for example tides, tidal waves, coastal information, reefs, maritime, outer continental shelf submerged lands, shoreline"
        },
        {
            "thcode": 23,
            "code": "27",
            "name": "Habitat",
            "scope": "Habitat includes data that describe repeatable combinations of biota and associated chemical, physical, or geological features in a distinct place, which, as in the CMECS Biotic Component, generally are named for the dominant taxa living there. Habitat also includes biotopes in accordance with CMECS. Examples include seagrass beds, deep-water corals, benthos, nekton, plankton, mussel beds. Distributions for Habitat data subject types include records of biotic associations, habitats, or biotopes obtained through direct observation, imagery, collection, or other methods; Distributions also include biotope maps, predicted maps of present-day habitats (for example, the Northwest Atlantic Marine Ecoregional Assessment, Mapping European Seabed Habitats), and other compilations or interpretations from observed data. Assessments include ecological valuation indices, presence, quantity (hectares), or percentage of identified high-value habitats; other purpose-driven, regionally-specific indicators of ecological value; classifications of areas as critical habitat; ecological services models; evaluations of habitat condition; and place-based indices of susceptibility and vulnerability to disturbance. Predictions are the results of models or projections of future distributions, values, or impacts; anticipated changes produced by natural and human processes; future projections of cumulative impacts of single or multiple stressors; and scenario-testing habitat loss\/gain models and predictions of related ecological or economic effects under different management strategies."
        },
        {
            "thcode": 61,
            "code": "68",
            "name": "shoreline accretion",
            "scope": "seaward migration of the shoreline resulting from the addition of earth materials."
        },
        {
            "thcode": 61,
            "code": "69",
            "name": "shoreline erosion",
            "scope": "landward migration of the shoreline resulting from the removal of earth materials."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": []
}