Satellite image of solar power plant

Are annotated solar panels available in native resolution and HD satellite imagery?

To the best knowledge of the authors, there are no publicly available datasets including annotated solar panels in native resolution and HD satellite imagery. The process for creating the paired native resolution and HD image tiles and associated labels. Both sets of components contain three image tiles and 2,542 annotated solar panels.

Which satellite imagery should I use for solar panels?

The first critical choice was what satellite imagery to use. We chose to work with two sources: Airbus SPOT and Sentinel 2. Airbus SPOT provides high spatial resolution 4-band imagery at 1.5m per pixel, which is sufficient to see the pattern of solar panels laid out in arrays.

Can Landsat imagery improve PV solar power plants?

The larger numbers of Landsat imagery, training samples, and input variables can include more PV solar power plants and more accurate PV information in our study (Fig. 10 c and d).

Does China have a spatial map of PV power stations?

Although some researchers released several PV power station maps, most only met a medium resolution of 30 meters 9, 10. There thus still lacks a national map of China’s PV power stations with a higher spatial resolution (i.e., 10 meters) that could provide a global understanding of PV’s spatial deployment patterns.

Can deep learning detect solar farms using satellite imagery?

China is the world leading installer of solar panel and numerous solar power plants were built. In this paper, we proposed a deep learning framework named SolarNet which is designed to perform semantic segmentation on large scale satellite imagery data to detect solar farms.

Does the new EnMAP hyperspectral satellite detect PV power plants?

It is also of high interest to investigate the performance of the new EnMAP hyperspectral satellite with 30 m spatial resolution in detecting PV power plants with the methods described in this study.