Articles | Volume 14, issue 9
https://doi.org/10.5194/essd-14-4251-2022
https://doi.org/10.5194/essd-14-4251-2022
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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Cited articles

4C Offshore: 4C Offshorewind, https://map.4coffshore.com/offshorewind/ (last access: 26 March 2022), 2021. a, b
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., Wicke, M., Yu, Y., and Zheng, X.: TensorFlow: A System for Large-Scale Machine Learning, in: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI 16), USENIX Association, Savannah, GA, 265–283, https://www.usenix.org/conference/osdi16/technical-sessions/presentation/abadi (last access: 26 March 2022), 2016. a
Aschbacher, J.: ESA's earth observation strategy and Copernicus, in: Satellite earth observations and their impact on society and policy, Springer, Singapore, 81–86, https://doi.org/10.1007/978-981-10-3713-9_5, 2017. a
Bailey, H., Brookes, K. L., and Thompson, P. M.: Assessing environmental impacts of offshore wind farms: lessons learned and recommendations for the future, Aquatic Biosystems, 10, 8, https://doi.org/10.1186/2046-9063-10-8, 2014. a, b
Baumhoer, C. A., Dietz, A. J., Kneisel, C., and Kuenzer, C.: Automated Extraction of Antarctic Glacier and Ice Shelf Fronts from Sentinel-1 Imagery Using Deep Learning, Remote Sens., 11, 2529, https://doi.org/10.3390/rs11212529, 2019. a
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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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