{
    "tag": 11991,
    "title": "Overlapping lakebed images collected near Dollar Point, Lake Tahoe, CA, March 10 and 11, 2021",
    "pubdate": "20210930",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P9V44ZYS",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/pcmsc\/DataReleases\/CMGDS_DR_tool\/DR_P9V44ZYS\/2021-607-FA_Raw_Imagery_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "Underwater images were collected near Dollar Point, Lake Tahoe, CA, using a recently developed towed-surface vehicle with multiple downward-looking underwater cameras. The images are organized in zipped files grouped by survey line. The SQUID-5 system records images as TIFF (.tif) format to maintain the highest resolution and bit depth. Each image includes EXIF metadata, containing GNSS date, time, and latitude and longitude of the GNSS antenna mounted on the towed surface vehicle, copyright, keywords, and other fields.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Hatcher, Gerald A.",
            "role": "Author"
        },
        {
            "name": "Warrick, Jonathan A.",
            "role": "Author"
        },
        {
            "name": "Kranenburg, Christine J.",
            "role": "Author"
        },
        {
            "name": "Dal Ferro, Peter",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "474",
            "name": "geospatial datasets",
            "scope": "Collections of related digital information that are geographically referenced."
        },
        {
            "thcode": 2,
            "code": "2090",
            "name": "lakebed characteristics",
            "scope": "Characteristics of the bottom of inland bodies of water."
        },
        {
            "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": 2,
            "code": "2265",
            "name": "structure from motion",
            "scope": "Mathematical analysis, using photogrammetric principles, of multiple images that depict the same subject from different angles to derive geometrical information and relationships in three-dimensional space that are not inherent in any single image. Often used for deriving land elevation or large scale orthoimagery from a collection of aerial photographs."
        },
        {
            "thcode": 2,
            "code": "1281",
            "name": "visible light imaging",
            "scope": "Remote sensing methods using electromagnetic radiation which is visible to the human eye to react with the coating on a photographic plate or film."
        },
        {
            "thcode": 15,
            "code": "012",
            "name": "inlandWaters",
            "scope": "Inland water features, drainage systems and characteristics, for example rivers and glaciers, salt lakes, water utilization plans, dams, currents, floods and flood hazards, water quality, hydrographic charts, watersheds, wetlands, hydrography"
        },
        {
            "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": "145",
            "name": "lake bed",
            "scope": "the bottom of a lake."
        },
        {
            "thcode": 61,
            "code": "220",
            "name": "sediment",
            "scope": "unconsolidated weathering products that have been eroded, transported, and deposited in another location."
        }
    ],
    "place_term": [],
    "image": [],
    "fan": [
        "2021-607-FA"
    ]
}