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JRSRP Fractional cover v3

Scarth, Peter; Denham, Robert; Watson, Fiona

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>Scarth,  Peter</dc:creator>
  <dc:creator>Denham, Robert</dc:creator>
  <dc:creator>Watson, Fiona</dc:creator>
  <dc:description>The fractional cover v3.0 model is a Multi Layer Perceptron (neural network) model architecture that uses surface reflectance to estimate the three cover fractions of bare ground, photosynthetic vegetation (PV) and non-photosynthetic vegetation (NPV). The MLP model was trained with Tensorflow using Landsat TM, ETM+ and OLI surface reflectance and a collection of 4000 field observations of overstorey and ground cover. The field observations covered a wide variety of vegetation, soil and climate types across Australia, collected between 1997 and 2018.</dc:description>
  <dc:subject>remote sensing</dc:subject>
  <dc:title>JRSRP Fractional cover v3</dc:title>
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