{
    "tag": 18856,
    "title": "Shoreline seasonality measurements from Landsat satellite imagery for California beaches, 2000-2022",
    "pubdate": "20250116",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P14WWHOJ",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/ScienceBase\/DR_P14WWHOJ\/CoastSat_Calif_SeasonalCycleData_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "Shoreline position data from the CoastSat methodology were used to describe seasonal cycles of California beaches using time-series analyses. This data release includes the results of the time-series analyses, including parameters from the Seasonal Trend decomposition with LOESS (STL), spectral analyses, and unsupervised clustering. These techniques were applied to 7777 shoreline transects of California beaches. The original shoreline time-series that formed the basis of these data are can be found at: Vos, K., 2023, Time-series of shoreline change along the Pacific Rim (v1.4) [Data set]. Zenodo, doi: 10.5281\/zenodo. 7758183",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Warrick, Jonathan A.",
            "role": "Author"
        },
        {
            "name": "Buscombe, Daniel D.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "574",
            "name": "image analysis",
            "scope": "Pattern analysis of the shapes and textures of images to identify features and derive information about them."
        },
        {
            "thcode": 2,
            "code": "981",
            "name": "remote sensing",
            "scope": "Acquiring information about a natural feature or phenomenon, such as the Earth's surface, without actually being in contact with it. USGS remote sensing is usually carried out with airborne or spaceborne sensors or cameras."
        },
        {
            "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": "013",
            "name": "location",
            "scope": "Positional information and services, for example addresses, geodetic networks, geodetic control points, postal zones and services, place names, geographic names"
        },
        {
            "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": "18",
            "name": "Sand Resources",
            "scope": "Includes deposits of unconsolidated particles of biogenic or mineral sediments with a dominant particle size ranging from 0.0625-2.0 millimeters in diameter; the deposits may be located offshore as sand beds or onshore as dunes and beaches. Distributions are recorded observations or models of sediment size, composition, and deposit thickness in a location or area, including maps of sand resources compiled through observations, interpreted data, remote sensing data, geologic maps, and hydrodynamic models. Assessments are evaluations of total sand availability; models of present sand deposition and resuspension rates; models of difficulty of extraction, relocation, or protection; and models of ecological and economic value. Predictions are the results of models or projections of future distributions, values, or ecological impacts of sand resources; these data include predicted changes to sand beds due to natural and human forces; scenario-based models of sand resource losses or gains under different management strategies of mining, extraction, relocation, dredging-related deposition, beach nourishment, or hard structure placement (for example, on beaches); and projections of the effects of human alterations to sand resources on other resources or on ecological function."
        },
        {
            "thcode": 61,
            "code": "3",
            "name": "agents of coastal change",
            "scope": "natural phenomena and human activities that cause changes in coastal processes, landscapes, and ecosystems."
        },
        {
            "thcode": 61,
            "code": "702",
            "name": "geography",
            "scope": "the study of physical and cultural features on the Earth's surface."
        },
        {
            "thcode": 61,
            "code": "382",
            "name": "sediment resources",
            "scope": "used for the economic and environmental aspects of aggregate mining in coastal and marine environments."
        }
    ],
    "place_term": [],
    "image": [
        {
            "name": "https:\/\/www.sciencebase.gov\/catalog\/file\/get\/6635585ad34edc29f409e2f5?name=BrowseGraphic1_Calif_StudyArea.jpg&allowOpen=true",
            "description": "Map of the CoastSat transects included in this dataset."
        }
    ],
    "fan": []
}