On the features of Doppler velocities estimation with coherent radar of high spatial resolution

Alexey V. Ermoshkin; Ivan A. Kapustin; Alexander A. Molkov; Nikolay A. Bogatov; Viktor V. Bakhanov

doi:10.1117/12.2533072

14 October 2019 On the features of Doppler velocities estimation with coherent radar of high spatial resolution

Alexey V. Ermoshkin, Ivan A. Kapustin, Alexander A. Molkov, Nikolay A. Bogatov, Viktor V. Bakhanov

Proceedings Volume 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019; 111501I (2019) https://doi.org/10.1117/12.2533072
Event: SPIE Remote Sensing, 2019, Strasbourg, France

Abstract

The article discusses the results of theoretical and experimental studies of Doppler velocity on the sea surface. Doppler velocity is measured by radar sensing at moderate and low grazing angles. The experiments were performed using coherent X-band and Ka-band panoramic digital radars operating with the horizontal polarization for transmission and reception. These radars have high spatial resolution. An algorithm for reconstructing Doppler velocities is proposed and estimates of the fluctuation sensitivity of the method are carried out. The method is applied to the conditions of the fetch-limited wind wave growth, which is typical for enclosed waters and the sea nearshore, where the dominant wavelength is of the order of ten meters. Based on the two-scale model, the dependences of the Doppler velocity on the parameters of the ocean-atmosphere interface are considered. The effect of shadowing by the crests of wind waves on the magnitude of the Doppler velocity at low grazing angles is discussed. The manifestation of the orbital velocity of wind waves is demonstrated.

Citation Download Citation

Alexey V. Ermoshkin, Ivan A. Kapustin, Alexander A. Molkov, Nikolay A. Bogatov, and Viktor V. Bakhanov "On the features of Doppler velocities estimation with coherent radar of high spatial resolution", Proc. SPIE 11150, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2019, 111501I (14 October 2019); https://doi.org/10.1117/12.2533072

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