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<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>William P. Kustas</dc:contributor>
  <dc:contributor>M. S. Moran</dc:contributor>
  <dc:contributor>P. J. Pinter Jr.</dc:contributor>
  <dc:contributor>R. D. Jackson</dc:contributor>
  <dc:contributor>P.W. Brown</dc:contributor>
  <dc:contributor>W. D. Nichols</dc:contributor>
  <dc:contributor>L. W. Gay</dc:contributor>
  <dc:creator>C.S.T. Daughtry</dc:creator>
  <dc:date>1990</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;Conventional methods of measuring surface energy balance are point measurements and represent only a small area. Remote sensing offers a potential means of measuring outgoing fluxes over large areas at the spatial resolution of the sensor. The objective of this study was to estimate net radiation (R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;) and soil heat flux (G) using remotely sensed multispectral data acquired from an aircraft over large agricultural fields. Ground-based instruments measured R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;and G at nine locations along the flight lines. Incoming fluxes were also measured by ground-based instruments. Outgoing fluxes were estimated using remotely sensed data. Remote R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;, estimated as the algebraic sum of incoming and outgoing fluxes, slightly underestimated R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;measured by the ground-based net radiometers. The mean absolute errors for remote R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;minus measured R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;were less than 7%. Remote G, estimated as a function of a spectral vegetation index and remote R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;, slightly overestimated measured G; however, the mean absolute error for remote G was 13%. Some of the differences between measured and remote values of R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;and G are associated with differences in instrument designs and measurement techniques. The root mean square error for available energy (R&lt;/span&gt;&lt;sub&gt;n&lt;/sub&gt;&lt;span&gt;&amp;nbsp;- G) was 12%. Thus, methods using both ground-based and remotely sensed data can provide reliable estimates of the available energy which can be partitioned into sensible and latent heat under nonadvective conditions.&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1016/0034-4257(90)90012-B</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Elsevier</dc:publisher>
  <dc:title>Spectral estimates of net radiation and soil heat flux</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>