About: Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis     Goto   Sponge   NotDistinct   Permalink

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rdf:type
description
  • article (en)
  • artículu científicu (ast)
  • wetenschappelijk artikel (nl)
  • наукова стаття, опублікована у вересні 2012 (uk)
  • im September 2012 veröffentlichter wissenschaftlicher Artikel (de)
publication date
publication date
author name string
author name string
  • Baozhang Chen
  • Dongjie Fu
  • Charles P.-A. Bourque
  • Brian D. Amiro
  • Alan G. Barr
rdfs:label
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (en)
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (nl)
skos:prefLabel
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (en)
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (nl)
name
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (en)
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (nl)
author
author
title
title
  • Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and footprint analysis (en)
page(s)
page(s)
  • 742-755
instance of
instance of
main subject
main subject
published in
published in
volume
volume
  • 124
DOI
DOI
DOI
  • 10.1016/J.RSE.2012.06.007
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describes a project that uses
is about of
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