<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Frederick M. Irani</dc:contributor>
  <dc:contributor>Renee L. Thompson</dc:contributor>
  <dc:creator>Peter R. Claggett</dc:creator>
  <dc:date>2013</dc:date>
  <dc:description>The ability of researchers to accurately assess the extent of impervious and pervious developed surfaces, e.g., turf grass, using land-cover data derived from Landsat satellite imagery in the Chesapeake Bay watershed is limited due to the resolution of the data and systematic discrepancies between developed land-cover classes, surface mines, forests, and farmlands. Estimates of impervious surface and turf grass area in the Mid-Atlantic, United States that were based on 2006 Landsat-derived land-cover data were substantially lower than estimates based on more authoritative and independent sources. New estimates of impervious surfaces and turf grass area derived using land-cover data combined with ancillary information on roads, housing units, surface mines, and sampled estimates of road width and residential impervious area were up to 57 and 45% higher than estimates based strictly on land-cover data. These new estimates closely approximate estimates derived from authoritative and independent sources in developed counties.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1111/jawr.12110</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>American Water Resources Association</dc:publisher>
  <dc:title>Estimating the extent of impervious surfaces and turf grass across large regions</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>