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  <title>Unitus DSpace</title>
  <link rel="alternate" href="http://http://dspace.unitus.it:80" />
  <subtitle>The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.</subtitle>
  <id>http://http://dspace.unitus.it:80</id>
  <updated>2013-05-24T23:48:01Z</updated>
  <dc:date>2013-05-24T23:48:01Z</dc:date>
  <entry>
    <title>Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models</title>
    <link rel="alternate" href="http://hdl.handle.net/2067/1399" />
    <author>
      <name>Casa, Raffaele</name>
    </author>
    <author>
      <name>Baret, Fréderic</name>
    </author>
    <author>
      <name>Buis, Samuel</name>
    </author>
    <author>
      <name>Lopez-Lozano, Raul</name>
    </author>
    <author>
      <name>Pascucci, Simone</name>
    </author>
    <author>
      <name>Palombo, Angelo</name>
    </author>
    <author>
      <name>Jones, Hamlyn G.</name>
    </author>
    <id>http://hdl.handle.net/2067/1399</id>
    <updated>2011-06-30T17:26:42Z</updated>
    <published>2009-12-31T23:00:00Z</published>
    <summary type="text">Title: Estimation of maize canopy properties from remote sensing by inversion of 1-D and 4-D models
Authors: Casa, Raffaele; Baret, Fréderic; Buis, Samuel; Lopez-Lozano, Raul; Pascucci, Simone; Palombo, Angelo; Jones, Hamlyn G.
Abstract: The inversion of canopy reflectance models is widely used for the retrieval of&#xD;
vegetation properties from remote sensing. However the accuracy of the estimates depends&#xD;
on a range of factors, most notably the realism with which the canopy is represented by the&#xD;
models and the possibility of introducing a priori knowledge on canopy characteristics to&#xD;
constrain the inversion procedure. The objective of the present work was to compare the&#xD;
performances and operational limitations of two contrasting types of radiative transfer&#xD;
models: a classical one-dimensional canopy reflectance model, PROSPECT?SAIL&#xD;
(PROSAIL), and a three-dimensional dynamic (4-D) maize model. The latter introduces&#xD;
greater realism into the description of the canopy structure and implicit a priori information&#xD;
on the crop. The assessment was carried out with multiple view angle data recorded from&#xD;
field experiments on maize at stages V5 to V8. The simplex numerical optimization&#xD;
algorithm was used to invert the two models, using spectral reflectance data for PROSAIL&#xD;
and gap fraction data for the 4-D maize model. Leaf area index (LAI) was estimated with a&#xD;
RMSE of 0.48 for PROSAIL and 0.35 for the 4-D model. Retrieval of average leaf&#xD;
inclination angle (ALA) was problematic with both models. The effect of the number and&#xD;
distribution of observation view angles was examined, and the results highlight the&#xD;
advantage of oblique angle measurements.
Description: L'articolo é disponibile sul sito dell'editore: http://www.springerlink.com</summary>
    <dc:date>2009-12-31T23:00:00Z</dc:date>
  </entry>
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