Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 14, issue 9
Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-4251-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 9
Data description paper
 | 
19 Sep 2022
Data description paper |  | 19 Sep 2022

DeepOWT: a global offshore wind turbine data set derived with deep learning from Sentinel-1 data

Thorsten Hoeser, Stefanie Feuerstein, and Claudia Kuenzer

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Short summary
The DeepOWT (Deep-learning-derived Offshore Wind Turbines) data set provides offshore wind energy infrastructure locations and their temporal deployment dynamics from July 2016 until June 2021 on a global scale. It differentiates between offshore wind turbines, platforms under construction, and offshore wind farm substations. It is derived by applying deep-learning-based object detection to Sentinel-1 imagery.
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