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The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLIII-B3-2022
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-181-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-181-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
30 May 2022
| 30 May 2022
HOW EFFICIENT CAN SENTINEL-2 DATA HELP SPATIAL MAPPING OF MUCILAGE EVENT IN THE MARMARA SEA?
F. Sunar
ITU, Civil Engineering Faculty, 80626 Maslak Istanbul, Turkey
A. Dervisoglu
ITU, Civil Engineering Faculty, 80626 Maslak Istanbul, Turkey
N. Yagmur
ITU, Civil Engineering Faculty, 80626 Maslak Istanbul, Turkey
Gebze Technical University, Engineering Faculty, 41400 Kocaeli, Turkey
E. Colak
Chemnitz University of Technology, Chemnitz, Germany
E. Kuzyaka
TUBITAK MRC Marine and Coastal Research Group, Kocaeli, Turkey
TUBITAK MRC Marine and Coastal Research Group, Kocaeli, Turkey
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Short summary
Short summary
We investigated the impact of Wind Turbines and Wind Turbine Interference on operational weather radar unfiltered raw IQ-data and subsequent radar moments, such as Reflectivity, Differential Reflectivity, Differential Phase, Mean Doppler Velocity and Correlation Coefficient, for both events with and without precipitation in this contribution under the scope of the RIWER (Removing the Influence of Wind Park Echoes in Weather Radar Measurements) project.
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A. F. Sunar, N. Yagmur, and A. Dervisoglu
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D. Akyürek, Ö. Koç, E. M. Akbaba, and F. Sunar
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E. Çolak and A. F. Sunar
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A. Azabdaftari and F. Sunar
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