<?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>S.L. Dingman</dc:contributor>
  <dc:contributor>C. J. Vorosmarty</dc:contributor>
  <dc:contributor>C.H. Bolster</dc:contributor>
  <dc:contributor>R.G. Congalton</dc:contributor>
  <dc:contributor>Wahl T.L.Pugh C.A.Oberg K.A.Vermeyen T.B.Wahl T.L.Pugh C.A.Oberg K.A.Vermeyen T.B.</dc:contributor>
  <dc:creator>D.M. Bjerklie</dc:creator>
  <dc:date>2002</dc:date>
  <dc:description>Multiple-regression analyses of hydraulic data from more than 1,000 discharge measurements, ranging in magnitude from over 200,000 to less than 1 m3/s, were used to develop generally applicable equations that use potentially observable variables to estimate river discharge using remote sensing techniques. Measurement uncertainty analysis indicates that existing satellite-based sensors can measure water-surface width (or surface area), water-surface elevation, and potentially the surface velocity of rivers with accuracies sufficient to provide estimates of discharge with average uncertainty on the order of 20 percent.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:language>en</dc:language>
  <dc:title>An approach to estimating river discharge from space</dc:title>
  <dc:type>text</dc:type>
</oai_dc:dc>