About Mountain photovoltaic hanging photovoltaic panel artifact
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4 FAQs about [Mountain photovoltaic hanging photovoltaic panel artifact]
Can remote sensing derived data be used for large-scale photovoltaic power stations?
Scientific Data 11, Article number: 198 (2024) Cite this article We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution of 10 meters.
What is remote sensing derived dataset for large-scale photovoltaic power stations in China?
We provide a remote sensing derived dataset for large-scale ground-mounted photovoltaic (PV) power stations in China of 2020, which has high spatial resolution of 10 meters. The dataset is based on the Google Earth Engine (GEE) cloud computing platform via random forest classifier and active learning strategy.
Why is photovoltaic power important?
As an indispensable part of renewable energy sources, photovoltaic (PV) power has drawn increasingly more attention around the globe nowadays 1, 2.
Can a random forest classifier detect solar photovoltaic arrays in aerial imagery?
Malof, J. M. et al. Image features for pixel-wise detection of solar photovoltaic arrays in aerial imagery using a random forest classifier. In 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA). 799–803 (IEEE, 2016).