August 19, 2022 Software Open Access

Scarth, Peter; Denham, Robert; Watson, Fiona

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{
  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<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>", 
  "license": "https://opensource.org/licenses/MIT", 
  "creator": [
    {
      "affiliation": "University of Queensland", 
      "@id": "https://orcid.org/0000-0001-5091-7915", 
      "@type": "Person", 
      "name": "Scarth,  Peter"
    }, 
    {
      "affiliation": "University of Queensland", 
      "@id": "https://orcid.org/0000-0002-3342-7970", 
      "@type": "Person", 
      "name": "Denham, Robert"
    }, 
    {
      "affiliation": "Department of Environment and Science, Queensland, Australia", 
      "@type": "Person", 
      "name": "Watson, Fiona"
    }
  ], 
  "url": "https://zenodo.org/record/7008343", 
  "datePublished": "2022-08-19", 
  "version": "1.0.10", 
  "keywords": [
    "remote sensing"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.7008343", 
  "@id": "https://doi.org/10.5281/zenodo.7008343", 
  "@type": "SoftwareSourceCode", 
  "name": "JRSRP Fractional cover v3"
}