About Large-scale centralized ground photovoltaic support
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6 FAQs about [Large-scale centralized ground photovoltaic support]
Can small-scale photovoltaic power stations be installed in China?
This study re-estimated the installed potential of centralized large-scale and distributed small-scale photovoltaic power stations in 449 prefecture-level cities in China based on a geographic information system and Google Earth Engine combined with Baidu map data and related geographic information data.
How to identify large-scale centralized photovoltaic power plants?
The rapid identification method for large-scale centralized photovoltaic power plants proposed in this paper is divided into two steps: photovoltaic power plant spatial information positioning and photovoltaic panel accurate identification. Therefore, the accuracy evaluation method of this experiment is also divided into two parts.
Are centralized photovoltaic power plants based on remote sensing images?
It is worth mentioning that photovoltaic power plants have an obvious texture, geometry, spectrum, and other characteristics in remote sensing images. Therefore, it is of great significance to propose a hierarchical information extraction method for centralized photovoltaic power plants based on multi-source satellite remote sensing images.
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.
Can centralized large-scale PV power plants be developed in China?
For example, the China renewable energy industry development report 2018 , which assessed the potential of centralized large-scale PV power plants, found only 5% of the area of one land use type, Gobi, to be developed. However, the suitability of other geographical and resource environment conditions was not considered.
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.