Document of bibliographic reference 345517

BibliographicReference record

Type

Bibliographic resource

Type of document

Journal article

BibLvlCode

AS

Title

Global offshore wind turbine dataset

Abstract

Offshore wind farms are widely adopted by coastal countries to obtain clean and green energy; their environmental impact has gained an increasing amount of attention. Although offshore wind farm datasets are commercially available via energy industries, records of the exact spatial distribution of individual wind turbines and their construction trajectories are rather incomplete, especially at the global level. Here, we construct a global remote sensing-based offshore wind turbine (OWT) database derived from Sentinel-1 synthetic aperture radar (SAR) time-series images from 2015 to 2019. We developed a percentile-based yearly SAR image collection reduction and autoadaptive threshold algorithm in the Google Earth Engine platform to identify the spatiotemporal distribution of global OWTs. By 2019, 6,924 wind turbines were constructed in 14 coastal nations. An algorithm performance analysis and validation were performed, and the extraction accuracies exceeded 99% using an independent validation dataset. This dataset could further our understanding of the environmental impact of OWTs and support effective marine spatial planning for sustainable development.

WebOfScience code

https://www.webofscience.com/wos/woscc/full-record/WOS:000679931800001

Bibliographic citation

Zhang, T.; Tian, B.; Sengupta, D.; Zhang, L.; Si, Y. (2021). Global offshore wind turbine dataset. Scientific Data 8(1): 191. https://dx.doi.org/10.1038/s41597-021-00982-z

Topic

Marine

Is peer reviewed

true

Access rights

open access

Is accessible for free

true