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    • Lidar point cloud, elevation models, GPS data, imagery, and orthomosaic, collected during UAS operations at Town Neck Beach, Sandwich, MA on December 19th, 2023

    Metadata Updated: September 17, 2025

    Small Uncrewed Aircraft Systems (sUAS) were used to collect aerial remote sensing data over Town Neck Beach, Massachusetts. The area is a highly trafficked public beach with a parking lot, boardwalk, and renourishment and dune stabilization plan. On December 19th, 2023, after a recent placement of dredged sand and dune grass plug plantings, USGS personnel collected natural (RGB) color images, lidar, check points, and ground control points. These data were processed to produce a high-resolution lidar point cloud, digital elevation models, and a natural-color orthomosaic. Data are related to USGS Field activity 2023-028-FA and support observations of coastal change and lidar data testing.

    Access & Use Information

    Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date September 13, 2025
    Metadata Updated Date September 17, 2025

    Metadata Source

    Harvested from DOI USGS DCAT-US

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 13, 2025
    Metadata Updated Date September 17, 2025
    Publisher U.S. Geological Survey
    Maintainer
    Identifier http://datainventory.doi.gov/id/dataset/usgs-67213f10d34ed0f827eaaeed
    Data Last Modified 2025-04-30T00:00:00Z
    Category geospatial
    Public Access Level public
    Bureau Code 010:12
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://ddi.doi.gov/usgs-data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 850c0f41-735d-4e6b-bdf9-35597bf37f38
    Harvest Source Id 2b80d118-ab3a-48ba-bd93-996bbacefac2
    Harvest Source Title DOI USGS DCAT-US
    Metadata Type geospatial
    Old Spatial -70.48839210, 41.76186184, -70.47266159, 41.77067666
    Source Datajson Identifier True
    Source Hash 84b83679c66eaf96829eea7d3ebc6598c4b494137d39287486e0923bdda2e3c3
    Source Schema Version 1.1
    Spatial {"type": "Polygon", "coordinates": -70.48839210, 41.76186184, -70.48839210, 41.77067666, -70.47266159, 41.77067666, -70.47266159, 41.76186184, -70.48839210, 41.76186184}

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