August 19, 2022 Software Open Access

Scarth, Peter; Denham, Robert; Watson, Fiona

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.7008343", 
  "language": "eng", 
  "title": "JRSRP Fractional cover v3", 
  "issued": {
    "date-parts": [
      [
        2022, 
        8, 
        19
      ]
    ]
  }, 
  "abstract": "<p>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.</p>", 
  "author": [
    {
      "family": "Scarth,  Peter"
    }, 
    {
      "family": "Denham, Robert"
    }, 
    {
      "family": "Watson, Fiona"
    }
  ], 
  "version": "1.0.10", 
  "type": "article", 
  "id": "7008343"
}