{
    "tag": 18920,
    "title": "Lidar and photogrammetry point clouds with supporting imagery and GPS information collected during UAS operations at Great Sippewissett Marsh, Cape Cod, Massachusetts in November 2022",
    "pubdate": "20250317",
    "sername": null,
    "series_name": null,
    "issue": "DOI:10.5066\/P13PSF3S",
    "publish": null,
    "publisher_name": null,
    "onlink": "https:\/\/cmgds.marine.usgs.gov\/catalog\/whcmsc\/SB_data_release\/DR_P13PSF3S\/2022022FA_GSM_metadata.faq.html",
    "format": null,
    "email": null,
    "descript": "These lidar point clouds and images cover, in high detail, the terrain at Great Sippewissett Marsh, Cape Cod, MA on November 2nd, 2022. USGS researchers tested different sensors that collected lidar and images for photogrammetry point cloud data using Uncrewed Aerial Systems (UAS) to look at differences in coverage and elevation accuracy. The lidar data were acquired with a YellowScan Mapper lidar scanner, which consists of the Livox Horizon scanner and Applanix 15 inertial measurement unit; and a YellowScan VX20-100 lidar scanner, which consists of the Riegl minivux-1uav scanner and Applanix 20 inertial measurement unit. The YellowScan Mapper Sony UMC-R10C camera and a Ricoh GRII camera were used to take photos for structure from motion processing and to compare point clouds. The lidar data was post-processed to a R8s Trimble base station. Smart AeroPoint ground control points (GCPs) and ground truthing GPS points were used for vertical validation.",
    "lang": null,
    "journal": null,
    "pwid": null,
    "originator": [
        {
            "name": "Over, Jin-Si R.",
            "role": "Author"
        },
        {
            "name": "Bauer, Mark A.",
            "role": "Author"
        },
        {
            "name": "Burgess, Matthew A.",
            "role": "Author"
        },
        {
            "name": "Cramer, Jennifer M.",
            "role": "Author"
        },
        {
            "name": "Brosnahan, Sandra M.",
            "role": "Author"
        },
        {
            "name": "Ackerman, Seth D.",
            "role": "Author"
        },
        {
            "name": "Evans, Alexandra D.",
            "role": "Author"
        }
    ],
    "index_term": [
        {
            "thcode": 2,
            "code": "2041",
            "name": "digital elevation models",
            "scope": "Gridded elevation, geographically referenced to the surface of the earth, as digital data"
        },
        {
            "thcode": 2,
            "code": "474",
            "name": "geospatial datasets",
            "scope": "Collections of related digital information that are geographically referenced."
        },
        {
            "thcode": 2,
            "code": "575",
            "name": "image collections",
            "scope": "Visible representations of objects or earth properties produced by cameras, spectral instruments, or as graphical representations of measurements."
        },
        {
            "thcode": 2,
            "code": "2046",
            "name": "image mosaics",
            "scope": "Composite images formed by overlapping existing images, typically arranged to achieve greater spatial coverage."
        },
        {
            "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": 15,
            "code": "006",
            "name": "elevation",
            "scope": "Height above or below sea level, for example altitude, bathymetry, digital elevation models, slope, derived products, DEMs, TINs"
        },
        {
            "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": 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)."
        }
    ],
    "place_term": [],
    "image": [
        {
            "name": "https:\/\/www.sciencebase.gov\/catalog\/file\/get\/65bbbe96d34e18c6baf2e61f?name=2022022FA_GSM_lidar_browse.JPG&allowOpen=true",
            "description": "Example lidar point cloud of Great Sippewissett Marsh."
        }
    ],
    "fan": [
        "2022-022-FA"
    ]
}