- SolarEye - ML model to identify solar PV installations - input on use cases https://www.nature.com/articles/s41586-021-03957-7 3 comments renewableenergy
- A global inventory of photovoltaic solar energy generating units https://www.nature.com/articles/s41586-021-03957-7 3 comments science
Linking pages
- We mapped every large solar plant on the planet using satellites and machine learning https://sciencex.com/news/2021-11-large-solar-planet-satellites-machinelearning.html 708 comments
- Opinion | Are There Better Places to Put Large Solar Farms Than These Forests? - The New York Times https://www.nytimes.com/2022/09/21/opinion/environment/solar-panels-virginia-climate-change.html 144 comments
- Scientists Are Mapping Every Solar Panel in the World With Machine Learning https://interestingengineering.com/mapping-every-solar-panel-in-the-world-with-machine-learning 11 comments
- GitHub - Lkruitwagen/solar-pv-global-inventory: Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations. https://github.com/Lkruitwagen/solar-pv-global-inventory 0 comments
- We mapped every large solar plant on the planet using satellites and machine learning https://theconversation.com/we-mapped-every-large-solar-plant-on-the-planet-using-satellites-and-machine-learning-170747 0 comments
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