Published February 20, 2024 | Version v1
Dataset Open

Global Photovoltaic Solar Panel Dataset from 2019 to 2022

  • 1. EDMO icon Beijing Normal University
  • 2. Moganshan Geospatial Information Laboratory

Description

Using Google Earth imagery and 2019-2022 Sentinel-2 datasets, we developed a two-stage classification framework to obtain the annual global dataset of solar photovoltaic panels at 20-meter resolution from 2019 to 2022.

To classify the global solar photovoltaic panels, we applied the global zoning method of IPCC AR6 WGI to define the main-zoning, and used 4 degree × 4 degree grids to create the sub-zoning. Then, we extracted the solar photovoltaic panels in each sub-zoning, and stored the result data in TIFF format.

The number of each file corresponds to the ID in the attribute table of the sub-zoning-ID file, and users can download and use the corresponding file based on the sub-zoning-ID. After the ID, 2019, 2020, 2021, and 2022 respectively represent four years.

The folder of the annual global PV dataset is named after the year, and each file is named as "sub zoning ID_year".

The dataset has been published in Scientific Data, please cite: Li, A., Liu, L., Li, S. et al. Global photovoltaic solar panel dataset from 2019 to 2022. Sci Data 12, 637 (2025).  https://doi.org/10.1038/s41597-025-04985-y

Files

2019.zip

Files (77.8 MB)

Name Size Download all
md5:a2708dec2442964d718bdc47485916b8
17.8 MB Preview Download
md5:9b6465a4062079f28dbbef2e08f5baab
18.6 MB Preview Download
md5:a2b429886785207f3572887061b22238
19.4 MB Preview Download
md5:7d8e6ac97468b97ddac4c8b10640eea7
21.3 MB Preview Download
md5:ad43723290a485064313b9533fc1146b
28.4 kB Download
md5:c742bee3d4edfc2948a2ad08de1790a5
145 Bytes Download
md5:cd222ab112b7674b180e496ad1066807
40.7 kB Download
md5:b3b77932993c0e32b577d47072686169
4.2 kB Download
md5:7432694fbad74eb645e513f8be6d412b
550.9 kB Download
md5:78e5552d7684a94d646d8cc537b5d9a9
734 Bytes Preview Download
md5:573838ece471bbdb2bb6b194a8309b7f
32.5 kB Download