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" }
}