Item talk:Q322867

From geokb

{

 "DOI": {
   "doi": "10.5066/p9utmb64",
   "identifiers": [],
   "creators": [
     {
       "name": "Falcone, James A",
       "nameType": "Personal",
       "givenName": "James A",
       "familyName": "Falcone",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0001-7202-3592",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Nott, Michelle A",
       "nameType": "Personal",
       "givenName": "Michelle A",
       "familyName": "Nott",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3968-7586",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Estimating the presence of paved surface parking lots in the conterminous U.S. from land use coefficients for 1974, 1982, 1992, 2002, and 2012"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [
     {
       "subject": "Geography,Land Use Change,Water Quality"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.1002/etc.4727",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "Parking lots may be a significant source of pollution. Oil, sediments, and heavy metals may accumulate on their surface, then be flushed into rivers, streams, and lakes via rainfall. At present no dataset provides a mapping or estimation of parking lot area or locations nationwide. This product consists of a time series of five national 60-meter raster datasets which estimate the proportion of each pixel represented by parking lots, based on land-use coefficients. The rasters span the conterminous United States, for the years 1974, 1982, 1992, 2002, and 2012. The dataset was derived by calculating coefficients for 18 land-use types (Commercial, Industrial, Residential, Recreation, and so on) from the 2012 U.S. Geological Survey NAWQA Wall-to-wall Anthropogenic land-use Trends (NWALT) product. The coefficients were calculated by comparing NWALT land-uses to 1-meter rasters representing detailed paved surface parking lot polygons available from six cities: Bloomington, IN; Chattanooga, TN; Denver, CO; Hartford, CT; Raleigh, NC; and St. Paul, MN. The land-use classification overlying the largest amount of parking lot land areas was Commercial land (20.1% of land area), followed by Industrial land (19.6%), and Major Transportation (7.4%). The results were cross-validated against ground-truth data withheld from the calculations. The coefficients derived from the year 2012 data were then applied to the prior four years to create a time series. The rasters provide a way to estimate percent parking lot area by watershed or other area of interest, over the last four decades.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5c0ea593e4b0c53ecb2af59f",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
   "downloadCount": 0,
   "referenceCount": 1,
   "citationCount": 1,
   "partCount": 0,
   "partOfCount": 0,
   "versionCount": 0,
   "versionOfCount": 0,
   "created": "2019-04-04T21:44:35Z",
   "registered": "2019-04-04T21:44:36Z",
   "published": null,
   "updated": "2023-09-10T08:55:52Z"
 }

}