FN Archimer Export Format PT J TI Statistical characterization of short wind waves from stereo images of the sea surface BT AF MIRONOV, Alexey YUROVSKAYA, M. V. DULOV, V. A. HAUSER, D. GUERIN, C.A. AS 1:1,2;2:3;3:3;4:2;5:4,5; FF 1:PDG-ODE-LOS;2:;3:;4:;5:; C1 IFREMER, Lab Oceanog Spatiale, FR-29280 Plouzane, France. Univ Versailles St Quentin Yvelines, UPMC, CNRS, LATMOS, Guyancourt, France. Inst Marine Hydrophys, Sevastopol, Ukraine. Aix Marseille Univ, CNRS INSU, IRD, MIO,UM 110, Marseille, France. Univ Toulon & Var, CNRS INSU, IRD, MIO,UM 110, La Garde, France. C2 IFREMER, FRANCE UNIV VERSAILLES, FRANCE INST MARINE HYDROPHYS, UKRAINE UNIV AIX MARSEILLE, FRANCE UNIV TOULON, FRANCE SI BREST SE PDG-ODE-LOS IN WOS Ifremer jusqu'en 2018 copubli-france copubli-univ-france copubli-int-hors-europe copubli-sud IF 3.17 TC 22 UR https://archimer.ifremer.fr/doc/00114/22511/20194.pdf LA English DT Article DE ;ocean field study;radar backscattering modeling;remote sensing;sea surface;short wind waves;stereo photography AB We propose a methodology to extract short-scale statistical characteristics of the sea surface topography by means of stereo image reconstruction. The possibilities and limitations of the technique are discussed and tested on a data set acquired from an oceanographic platform at the Black Sea. A validation is made with simultaneous in situ measurements as well as results from the literature. We show that one- and two-point properties of the short-scale roughness can be well estimated without resorting to an interpolation procedure or an underlying surface model. We obtain the first cumulants of the probability distribution of small-scale elevations and slopes as well as related structure functions. We derive an empirical parametrization for the skewness function that is of primary importance in analytical scattering models from the sea surface. PY 2012 PD DEC SO Journal Of Geophysical Research-oceans SN 0148-0227 PU Amer Geophysical Union VL 117 IS C00J35 UT 000312093700001 BP 1 EP 16 DI 10.1029/2011JC007860 ID 22511 ER EF