V
Vladimir Kudryavtsev
Researcher at Russian State Hydrometeorological University
Publications - 100
Citations - 1875
Vladimir Kudryavtsev is an academic researcher from Russian State Hydrometeorological University. The author has contributed to research in topics: Wind wave & Surface wave. The author has an hindex of 21, co-authored 100 publications receiving 1507 citations.
Papers
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Journal Article
A semiempirical model of the normalized radar cross-section of the sea surface. 1. Background model : Fluxes, surfaces waves, remote sensing, and ocean circulation in the North Mediterranean Sea: results from the FETCH experiment
TL;DR: In this paper, a physical model that takes into account not only the Bragg mechanism, but also the non-Bragg scattering mechanism associated with wave breaking was developed to explain the background behavior of the NRCS and the wave radar Modulation Transfer Function (MTF) at HH and VV polarization.
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On Dual Co-Polarized SAR Measurements of the Ocean Surface
Vladimir Kudryavtsev,Bertrand Chapron,Alexander Myasoedov,Fabrice Collard,Johnny A. Johannessen +4 more
TL;DR: In this article, an effective methodology using satellite high-resolution polarized information to interpret and quantitatively assess various surface ocean phenomena is suggested using a sample RADARSAT-2 quad-polarization ocean synthetic aperture radar (SAR) scene.
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Haline hurricane wake in the Amazon/Orinoco plume: AQUARIUS/SACD and SMOS observations
Semyon A. Grodsky,Nicolas Reul,Gary Lagerloef,Gilles Reverdin,James A. Carton,Bertrand Chapron,Yves Quilfen,Vladimir Kudryavtsev,Hsun-Ying Kao +8 more
TL;DR: In this paper, a new sea surface salinity (SSS) observations from the Aquarius/SACD and SMOS satellites help elucidate the ocean response to hurricane Katia, which crossed the plume in early fall 2011.
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Comparing Near-Coincident C- and X-Band SAR Acquisitions of Marine Oil Spills
TL;DR: Multipolarization features show enhanced slick-sea contrasts and a better discrimination between mineral oil spills and other low-backscatter features in Radarsat-2 compared with TerraSAR-X, while investigation of logcumulants indicates a larger deviation from Gaussian statistics in the TerraSar-X data compared with Radar-2 measurements.
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Quad‐polarization SAR features of ocean currents
TL;DR: In this paper, a methodology is demonstrated to exploit the polarization sensitivity of high-resolution radar measurements to interpret and quantify upper ocean dynamics, where the polarized Bragg-type radar scattering is isolated by considering the difference (PD) between vertically and horizontally polarized radar signals.