16 citations as recorded by crossref.

1. Sentinel-1 for offshore wind energy application C. Hasager & K. Dimitriadou https://doi.org/10.1016/j.rse.2026.115369
2. The use of Sentinel-1 OCN products for preliminary deep offshore wind energy potential estimation: A case study on Ionian sea C. Caligiuri et al. https://doi.org/10.1016/j.jestch.2022.101117
3. AI-Based Mapping of Offshore Wind Energy Around the Korean Peninsula Using Sentinel-1 SAR and Numerical Weather Prediction Data J. Joh et al. https://doi.org/10.3390/en18236252
4. Exploring the Potential of Sentinel-1 Ocean Wind Field Product for Near-Surface Offshore Wind Assessment in the Norwegian Arctic E. Khachatrian et al. https://doi.org/10.3390/atmos15020146
5. Gap-Filling Sentinel-1 Offshore Wind Speed Image Time Series Using Multiple-Point Geostatistical Simulation and Reanalysis Data S. Hadjipetrou et al. https://doi.org/10.3390/rs15020409
6. Wind Retrieval from Constellations of Small SAR Satellites: Potential for Offshore Wind Resource Assessment M. Badger et al. https://doi.org/10.3390/en16093819
7. Understanding public preferences towards Ireland's offshore wind sector: A study on renewable energy trade, public involvement, and setback distance T. Rensburg & N. Brennan https://doi.org/10.1016/j.marpol.2023.105988
8. From carbon to climate action: harnessing basalt for geological carbon dioxide (CO 2 ) storage onshore and offshore C. O'Sullivan et al. https://doi.org/10.1144/esss2024-016
9. Copernicus Data for Offshore Wind Energy: Capabilities, Applications and Emerging Trends P. Poozesh et al. https://doi.org/10.3390/su18041949
10. Super Resolution Mapping of Scatterometer Ocean Surface Wind Speed Using Generative Adversarial Network: Experiments in the Southern China Sea X. Wan et al. https://doi.org/10.3390/jmse12020228
11. High-resolution offshore wind resource assessment at turbine hub height with Sentinel-1 synthetic aperture radar (SAR) data and machine learning L. de Montera et al. https://doi.org/10.5194/wes-7-1441-2022
12. Wave height return periods from combined measurement–model data: a Baltic Sea case study J. Björkqvist et al. https://doi.org/10.5194/nhess-20-3593-2020
13. Integrated assessment of offshore wind power potential using Weather Research and Forecast (WRF) downscaling with Sentinel-1 satellite imagery, optimal sites, annual energy production and equivalent CO2 reduction S. Tuy et al. https://doi.org/10.1016/j.rser.2022.112501
14. Assessment of CCMP in Capturing High Winds with Respect to Individual Satellite Datasets P. Rong & H. Su https://doi.org/10.3390/rs16224215
15. Green energy estimation using remote sensing techniques: A comprehensive review of methods, applications, and future directions A. Sonare et al. https://doi.org/10.1016/j.egyr.2026.109354
16. A new methodology for offshore wind speed assessment integrating Sentinel-1, ERA-Interim and in-situ measurement M. Nezhad et al. https://doi.org/10.1016/j.renene.2021.03.026