October 27, 2021 Dataset Open Access

Kruitwagen, Lucas; Story, Kyle; Friedrich, Johannes; Byers, Logan; Skillman, Sam; Hepburn, Cameron

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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
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  "description": "<p>This is the data repository accompanying Kruitwagen, L., Story, K., Friedrich, J., Byers, L., Skillman, S., &amp; Hepburn, C. (2021) A global inventory of photovoltaic solar generating units, <strong>Nature, </strong><em>forthcoming</em>. This repository contains the training, cross-validation, test, and predicted data set as described in the publication. The contents of this repository are briefly summarised here, see the publication for further details.</p>\n\n<p><strong>Repository contents:</strong></p>\n\n<p><em>trn_tiles.geojson:&nbsp;</em>18,570&nbsp;rectangular areas-of-interest used for sampling training patch data.</p>\n\n<p><em>trn_polygons.geojson:&nbsp;</em>36,882&nbsp;polygons obtained from OSM in 2017&nbsp;used to label training patches.</p>\n\n<p><em>cv_tiles.geojson:&nbsp;</em>560&nbsp;rectangular areas-of-interest used for sampling cross-validation data seeded from <a href=\"https://www.wri.org/research/global-database-power-plants\">WRI GPPDB</a></p>\n\n<p><em>cv_polygons.geojson:&nbsp;</em>6,281 polygons corresponding to all PV solar generating units present in cv_tiles.geojson at the end of 2018.</p>\n\n<p><em>test_tiles.geojson:&nbsp;</em>122 rectangular regions-of-interest used for building the test set.</p>\n\n<p><em>test_polygons.geojson: </em>7,263 polygons corresponding to all utility-scale (&gt;10kW) solar generating units present in test_tiles.geojson at the end of 2018.</p>\n\n<p><em>predicted_polygons.geojson:&nbsp;</em>68,661 polygons corresponding to predicted polygons in global deployment, capturing the status of deployed photovoltaic solar energy generating capacity at the end of 2018.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Oxford", 
      "@id": "https://orcid.org/0000-0003-2663-395X", 
      "@type": "Person", 
      "name": "Kruitwagen, Lucas"
    }, 
    {
      "affiliation": "Descartes Labs Inc", 
      "@type": "Person", 
      "name": "Story, Kyle"
    }, 
    {
      "affiliation": "World Resources Institute", 
      "@type": "Person", 
      "name": "Friedrich, Johannes"
    }, 
    {
      "affiliation": "World Resources Institute", 
      "@type": "Person", 
      "name": "Byers, Logan"
    }, 
    {
      "affiliation": "Descartes Labs Inc", 
      "@type": "Person", 
      "name": "Skillman, Sam"
    }, 
    {
      "affiliation": "University of Oxford", 
      "@type": "Person", 
      "name": "Hepburn, Cameron"
    }
  ], 
  "url": "https://zenodo.org/record/5005868", 
  "datePublished": "2021-10-27", 
  "version": "1.0.0", 
  "keywords": [
    "photovoltaic solar", 
    "remote sensing", 
    "geospatial data", 
    "computer vision"
  ], 
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  "identifier": "https://doi.org/10.5281/zenodo.5005868", 
  "@id": "https://doi.org/10.5281/zenodo.5005868", 
  "@type": "Dataset", 
  "name": "A global inventory of solar photovoltaic generating units - dataset"
}