A global inventory of solar photovoltaic generating units - dataset

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. <strong>Repository contents:</strong> <em>trn_tiles.geojson: </em>18,570 rectangular areas-of-interest used for sampling training patch data. <em>trn_polygons.geojson: </em>36,882 polygons obtained from OSM in 2017 used to label training patches. <em>cv_tiles.geojson: </em>560 rectangular areas-of-interest used for sampling cross-validation data seeded from WRI GPPDB <em>cv_polygons.geojson: </em>6,281 polygons corresponding to all PV solar generating units present in cv_tiles.geojson at the end of 2018. <em>test_tiles.geojson: </em>122 rectangular regions-of-interest used for building the test set. <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. <em>predicted_polygons.geojson: </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.