{
    "tag": 18924,
    "title": "Labeled satellite imagery for training machine learning models that predict the suitability of semantic segmentation model outputs for shoreline extraction.",
    "pubdate": "20250325",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P1N4VI7H",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/CMGDS_DR_tool\/DR_P1N4VI7H\/segmentation_filter_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "A dataset of semantic segmentations of Landsat, Sentinel, and Planetscope satellite images of coastal shoreline regions, consisting of folders of images that have been labeled as either suitable or unsuitable for shoreline detection using existing conventional approaches such as CoastSat (Vos and others, 2019) or CoastSeg (Fitzpatrick and others, 2024). These data are intended only to be used as a training and validation dataset for a machine learning model that is specifically designed for the task of determining the suitability of a deep-learning-based image segmentation model output for the task of estimating the shoreline location. These data were used to train a Machine Learning model to recognize the quality of an image segmentation.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Buscombe, Daniel D.",
            "role": "Author"
        },
        {
            "name": "Lundine, Mark A.",
            "role": "Author"
        },
        {
            "name": "Batiste, Sharon",
            "role": "Author"
        },
        {
            "name": "Janda, Catherine N.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "168",
            "name": "climate change",
            "scope": "Long-term alteration in the characteristic weather conditions of a region, such as changes in precipitation and temperature."
        },
        {
            "thcode": 2,
            "code": "1028",
            "name": "sea-level change",
            "scope": "Variation in the relative vertical position of land and ocean waters. Caused globally by changes in the distribution of ice masses and the shape of the oceans, and locally by the rate of uplift or subsidence of the land surface.  Includes both global (eustatic) and local (relative) sea-level variations."
        },
        {
            "thcode": 2,
            "code": "1102",
            "name": "storms",
            "scope": "Atmospheric disturbances with winds of unusual force or direction. Accompanied by rain, snow, hail, or sleet, and often by thunder and lightning."
        },
        {
            "thcode": 15,
            "code": "004",
            "name": "climatologyMeteorologyAtmosphere",
            "scope": "Processes and phenomena of the atmosphere, for example cloud cover, weather, climate, atmospheric conditions, climate change, precipitation"
        },
        {
            "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": "21",
            "name": "Physical Habitats and Geomorphology",
            "scope": "Includes measures of the geologic and structural characteristics of the coast or sea floor, such as the features defined in the Geoform Component of CMECS. Distributions are detailed topographic and bathymetric maps, geolocated photographs, or sea-floor descriptions; Distributions includes maps that interpret observations to categorize areas on the basis of geoform types such as those in CMECS. Assessment types include evaluations of ecological or human use value and can include models that project environmental or economic effects of erosion, climate change, dredging, and other stressors. Predictions are the results of models or projections of future distributions, values, or ecological impacts of physical habitats, including predicted changes due to natural and human forces; they are also from scenario-based models of resource losses, gains, or impacts on ecological or economic values under different management strategies (for example, mining, removal, relocation, or the building of structures)."
        },
        {
            "thcode": 61,
            "code": "336",
            "name": "coastal erosion",
            "scope": "the erosion of the area adjacent to an ocean, sea, or lake, often resulting in shoreline changes."
        },
        {
            "thcode": 61,
            "code": "275",
            "name": "sea level change",
            "scope": "changes in sea level controlled by fluctuations in the volume of the polar ice caps; associated issues include the effects on coastlines and shallow benthic habitats."
        },
        {
            "thcode": 61,
            "code": "28",
            "name": "waves",
            "scope": "used for waves acting as agents of erosion and sediment transport in coastal and nearshore environments."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": []
}