Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery

Jiang, Hou; Yao, Ling; Lu, Ning; Qin, Jun; Liu, Tang; Liu, Yujun; Zhou, Chenghu

doi:https://doi.org/10.5194/essd-13-5389-2021

Articles | Volume 13, issue 11

https://doi.org/10.5194/essd-13-5389-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/essd-13-5389-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 11

Data description paper

|

19 Nov 2021

Data description paper |

| 19 Nov 2021

Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery

Hou Jiang, Ling Yao, Ning Lu, Jun Qin, Tang Liu, Yujun Liu, and Chenghu Zhou

Data sets

Multi-resolution dataset for photovoltaic panel segmentation from satellite and aerial imagery Hou Jiang, Ling Yao, and Yujun Liu https://doi.org/10.5281/zenodo.5171712

Short summary

A multi-resolution (0.8, 0.3, and 0.1 m) photovoltaic (PV) dataset is established using satellite and aerial images. The dataset contains 3716 samples of PVs installed on various land and rooftop types. The dataset can support multi-scale PV segmentation (e.g., concentrated PVs, distributed ground PVs, and fine-grained rooftop PVs) and cross applications between different resolutions (e.g., from satellite to aerial samples and vice versa), as well as other research related to PVs.