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Estimating the presence of paved surface parking lots in the conterminous U.S. from land use coefficients for 1974, 1982, 1992, 2002, and 2012

April 3, 2019

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.

Citation Information

Publication Year 2019
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
DOI 10.5066/P9UTMB64
Authors James A Falcone, Michelle A Nott
Product Type Data Release
Record Source USGS Digital Object Identifier Catalog
USGS Organization Office of Planning and Programming