Item talk:Q318629

{

 "DOI": {
   "doi": "10.5066/p9dqm965",
   "identifiers": [],
   "creators": [
     {
       "name": "Minoo Han",
       "nameType": "Personal",
       "affiliation": [
         "Contractor to the United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Nicholas M Enwright",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-7887-3261",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Dean B Gesch",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-8992-4933",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Jason Stoker",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-2455-0931",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Jeffrey J Danielson",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-0907-034X",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Christopher J Amante",
       "nameType": "Personal",
       "affiliation": [
         "National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI)"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": null,
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Contractor vertical accuracy checkpoints for 3D Elevation Program digital elevation models in the Northern Gulf of Mexico and Atlantic coastal regions, 2012\u20132020"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2024,
   "subjects": [
     {
       "subject": "ecology"
     },
     {
       "subject": "remote sensing"
     },
     {
       "subject": "geomorphology"
     },
     {
       "subject": "geography"
     },
     {
       "subject": "environment"
     },
     {
       "subject": "lidar"
     },
     {
       "subject": "wetland ecosystems"
     },
     {
       "subject": "coastal processes"
     },
     {
       "subject": "biota"
     },
     {
       "subject": "digital elevation models"
     },
     {
       "subject": "land use and land cover"
     },
     {
       "subject": "farming"
     },
     {
       "subject": "GPS measurement"
     },
     {
       "subject": "Estuarine Coastal"
     },
     {
       "subject": "Emergent Wetland"
     },
     {
       "subject": "Forested Wetland"
     },
     {
       "subject": "marsh ecosystems"
     }
   ],
   "contributors": [],
   "dates": [],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
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   "sizes": [],
   "formats": [
     "xml",
     "shp"
   ],
   "version": null,
   "rightsList": [
     {
       "rights": "Creative Commons Zero v1.0 Universal",
       "rightsUri": "https://creativecommons.org/publicdomain/zero/1.0/legalcode",
       "schemeUri": "https://spdx.org/licenses/",
       "rightsIdentifier": "cc0-1.0",
       "rightsIdentifierScheme": "SPDX"
     }
   ],
   "descriptions": [
     {
       "description": "Vertical accuracy of elevation data in coastal environments is critical because small variations in elevation can affect an area\u2019s exposure to waves, tides, and storm-related flooding. Elevation data contractors typically quantify the vertical accuracy of digital elevation models (DEMs) developed using light detection and ranging data acquisition on a per-project basis to gauge whether the datasets meet quality and accuracy standards. To better understand the vertical accuracy of DEMs along the Gulf of Mexico and Atlantic coast, we collated over 5200 contractor points for this region that were collected for per-project-level analyses produced for assessing DEMs acquired for the U.S. Geological Survey\u2019s 3D Elevation Program. Upon pooling these data, we integrated attributes related to land cover from the National Oceanic and Atmospheric Administration's (NOAA) Coastal Change Assessment Program (C-CAP) 10 m BETA land cover product. Vegetative state, a derivative of land cover, was described as non-vegetated or vegetated. USGS Lidar Base Specification Quality Level (NGP, 2022), a derivative of point spacing, was obtained via the metadata of the elevation data, and regional classifiers were assigned based on dividing the coastal region using Everglades National Park and the North Carolina-Virginia border.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/64b8833ed34e70357a2b56a0",
   "contentUrl": null,
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   "created": "2024-06-26T14:37:14Z",
   "registered": "2024-06-26T14:37:14Z",
   "published": null,
   "updated": "2024-06-26T14:37:38Z"
 }

}