Published April 1, 2022
| Version 1.21.2
Dataset
Open
DeepOWT: A global offshore wind turbine data set
Authors/Creators
- 1. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR)
- 2. German Remote Sensing Data Center (DFD), German Aerospace Center (DLR); Department of Remote Sensing, Institute of Geography and Geology, University of Wuerzburg
Description
DeepOWT (deep learning derived global offshore wind turbines) is an independent and openly accessible data set of offshore wind energy infrastructure locations and their temporal deployment dynamics on a global scale. It is derived by applying deep learning based object detection on ESA's spaceborne Sentinel-1 synthetic aperture radar (SAR) archive. DeepOWT provides OWT locations along with their quarterly deployment stages from 2016 until 2021. It differentiates between platforms under construction, OWTs which are readily deployed and offshore wind farm substations, such as transformer stations. Related publication
| File | Time | Periods | Geometry | Entries |
|---|---|---|---|---|
| DeepOWT.geojson (Dataset) | 2016Q3-2021Q2 | 20 | points | 9941 |
| gt_2021Q2_nsb.geojson (Ground Truth) | 2021Q2 | 1 | polygons | 4354 |
| gt_2021Q2_ecs.geojson (Ground Truth) | 2021Q2 | 1 | polygons | 2844 |
| gt_2019Q4_nsb.geojson (Ground Truth) | 2019Q4 | 1 | polygons | 3821 |
| gt_2019Q4_ecs.geojson (Ground Truth) | 2019Q4 | 1 | polygons | 1469 |
| gt_2016Q3-2021Q1_nsb.geojson (GT) | 2016Q3-2021Q1 | 19 | polygons | 650 |
| gt_2016Q3-2021Q1_ecs.geojson (GT) | 2016Q3-2021Q1 | 19 | polygons | 430 |
| gt_nsb_gridded.geojson (GT North Sea Basin) | polygon | 1 | ||
| gt_ecs_gridded.geojson (GT East China Sea) | polygon | 1 |
| Integer | Semantic label | Abbreviation |
|---|---|---|
| 0 | open sea | sea |
| 1 | under construction | const |
| 2 | offshore wind turbine | owt |
| 3 | offshore wind farm substation | sub |
Files
DeepOWT.geojson
Files
(44.4 MB)
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Additional details
Related works
- Is published in
- Preprint: 10.5194/essd-2022-115 (DOI)
References
- Hoeser, T., Feuerstein, S., Kuenzer, C., 2022. DeepOWT: A global offshore wind turbine data set derived with deep learning from Sentinel-1 data. Earth System Science Data, 14, 4251-4270. doi:10.5194/essd-14-4251-2022