Dataset Open Access

A global inventory of solar photovoltaic generating units - dataset

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


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  <identifier identifierType="DOI">10.5281/zenodo.5005868</identifier>
  <creators>
    <creator>
      <creatorName>Kruitwagen, Lucas</creatorName>
      <givenName>Lucas</givenName>
      <familyName>Kruitwagen</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2663-395X</nameIdentifier>
      <affiliation>University of Oxford</affiliation>
    </creator>
    <creator>
      <creatorName>Story, Kyle</creatorName>
      <givenName>Kyle</givenName>
      <familyName>Story</familyName>
      <affiliation>Descartes Labs Inc</affiliation>
    </creator>
    <creator>
      <creatorName>Friedrich, Johannes</creatorName>
      <givenName>Johannes</givenName>
      <familyName>Friedrich</familyName>
      <affiliation>World Resources Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Byers, Logan</creatorName>
      <givenName>Logan</givenName>
      <familyName>Byers</familyName>
      <affiliation>World Resources Institute</affiliation>
    </creator>
    <creator>
      <creatorName>Skillman, Sam</creatorName>
      <givenName>Sam</givenName>
      <familyName>Skillman</familyName>
      <affiliation>Descartes Labs Inc</affiliation>
    </creator>
    <creator>
      <creatorName>Hepburn, Cameron</creatorName>
      <givenName>Cameron</givenName>
      <familyName>Hepburn</familyName>
      <affiliation>University of Oxford</affiliation>
    </creator>
  </creators>
  <titles>
    <title>A global inventory of solar photovoltaic generating units - dataset</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>photovoltaic solar</subject>
    <subject>remote sensing</subject>
    <subject>geospatial data</subject>
    <subject>computer vision</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-10-27</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5005868</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5005867</relatedIdentifier>
  </relatedIdentifiers>
  <version>1.0.0</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This is the data repository accompanying Kruitwagen, L., Story, K., Friedrich, J., Byers, L., Skillman, S., &amp;amp; Hepburn, C. (2021) A global inventory of photovoltaic solar generating units, &lt;strong&gt;Nature, &lt;/strong&gt;&lt;em&gt;forthcoming&lt;/em&gt;. 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.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Repository contents:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;trn_tiles.geojson:&amp;nbsp;&lt;/em&gt;18,570&amp;nbsp;rectangular areas-of-interest used for sampling training patch data.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;trn_polygons.geojson:&amp;nbsp;&lt;/em&gt;36,882&amp;nbsp;polygons obtained from OSM in 2017&amp;nbsp;used to label training patches.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;cv_tiles.geojson:&amp;nbsp;&lt;/em&gt;560&amp;nbsp;rectangular areas-of-interest used for sampling cross-validation data seeded from &lt;a href="https://www.wri.org/research/global-database-power-plants"&gt;WRI GPPDB&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;cv_polygons.geojson:&amp;nbsp;&lt;/em&gt;6,281 polygons corresponding to all PV solar generating units present in cv_tiles.geojson at the end of 2018.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;test_tiles.geojson:&amp;nbsp;&lt;/em&gt;122 rectangular regions-of-interest used for building the test set.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;test_polygons.geojson: &lt;/em&gt;7,263 polygons corresponding to all utility-scale (&amp;gt;10kW) solar generating units present in test_tiles.geojson at the end of 2018.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;predicted_polygons.geojson:&amp;nbsp;&lt;/em&gt;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.&lt;/p&gt;</description>
  </descriptions>
</resource>
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