Item talk:Q323706

{

 "DOI": {
   "doi": "10.5066/p9ksz382",
   "identifiers": [],
   "creators": [
     {
       "name": "Williamson, Tanja N",
       "nameType": "Personal",
       "givenName": "Tanja N",
       "familyName": "Williamson",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-7639-8495",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Hoefling, Dayle J",
       "nameType": "Personal",
       "givenName": "Dayle J",
       "familyName": "Hoefling",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-2004-3142",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Machine learning with satellite imagery to document the historical transition from topographic to dense sub-surface agricultural drainage networks (tile drains)"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2023,
   "subjects": [
     {
       "subject": "tile drain, subsurface agricultural drainage, agriculture, satellite imagery"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2021",
       "dateType": "Available"
     },
     {
       "date": "2023",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.1002/jeq2.20493",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "Image library of (1) tile-drained landscapes and (2) tile-drain types that will be used for a machine-learning model workflow that identifies (1) tile-drained landscapes and (2) differentiates two types of tile-drained areas visible in satellite imagery. These images were sourced from WorldView and Quickbird satellite imagery (copyright DigitalGlobe) and cropped to features of interest. Imagery has a ground resolution of 0.34 - 0.65 m.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5e8c855e82cee42d13465d00",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
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   "citationCount": 1,
   "partCount": 0,
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   "created": "2023-05-18T20:27:05Z",
   "registered": "2023-05-18T20:27:06Z",
   "published": null,
   "updated": "2023-06-01T14:09:52Z"
 }

}