Dataset Open Access

A global inventory of solar photovoltaic generating units - dataset

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


Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Kruitwagen, Lucas</dc:creator>
  <dc:creator>Story, Kyle</dc:creator>
  <dc:creator>Friedrich, Johannes</dc:creator>
  <dc:creator>Byers, Logan</dc:creator>
  <dc:creator>Skillman, Sam</dc:creator>
  <dc:creator>Hepburn, Cameron</dc:creator>
  <dc:date>2021-10-27</dc:date>
  <dc:description>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, Nature, forthcoming. 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.

Repository contents:

trn_tiles.geojson: 18,570 rectangular areas-of-interest used for sampling training patch data.

trn_polygons.geojson: 36,882 polygons obtained from OSM in 2017 used to label training patches.

cv_tiles.geojson: 560 rectangular areas-of-interest used for sampling cross-validation data seeded from WRI GPPDB

cv_polygons.geojson: 6,281 polygons corresponding to all PV solar generating units present in cv_tiles.geojson at the end of 2018.

test_tiles.geojson: 122 rectangular regions-of-interest used for building the test set.

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

predicted_polygons.geojson: 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.</dc:description>
  <dc:identifier>https://zenodo.org/record/5005868</dc:identifier>
  <dc:identifier>10.5281/zenodo.5005868</dc:identifier>
  <dc:identifier>oai:zenodo.org:5005868</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.5005867</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>photovoltaic solar</dc:subject>
  <dc:subject>remote sensing</dc:subject>
  <dc:subject>geospatial data</dc:subject>
  <dc:subject>computer vision</dc:subject>
  <dc:title>A global inventory of solar photovoltaic generating units - dataset</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
6,986
4,403
views
downloads
All versions This version
Views 6,9866,986
Downloads 4,4034,403
Data volume 569.0 GB569.0 GB
Unique views 5,3085,308
Unique downloads 1,2621,262

Share

Cite as