FN Archimer Export Format
PT J
TI Sun glitter imagery of ocean surface waves. Part 1: Directional spectrum retrieval and validation
BT 
AF KUDRYAVTSEV, Vladimir
   YUROVSKAYA, Maria
   CHAPRON, Bertrand
   COLLARD, Fabrice
   DONLON, Craig
AS 1:1,2;2:2;3:3;4:4;5:5;
FF 1:;2:;3:PDG-ODE-LOPS-SIAM;4:;5:;
C1 Russian State Hydrometeorol Univ, St Petersburg, Russia.
   RAS, Marine Hydrophys Inst, Sebastopol, Russia.
   Inst Francais Rech Exploitat Mer, Plouzane, France.
   OceanDataLab, Brest, France.
   European Space Agcy, Noordwijk, Netherlands.
C2 UNIV RUSSIAN STATE HYDROMETEOROL, RUSSIA
   RUSSIAN ACAD SCI, RUSSIA
   IFREMER, FRANCE
   OCEANDATALAB, FRANCE
   ESA, NETHERLANDS
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-france
   copubli-europe
   copubli-int-hors-europe
IF 2.711
TC 47
UR https://archimer.ifremer.fr/doc/00381/49280/49678.pdf
LA English
DT Article
DE ;satellite sun glitter imagery;ocean surface waves;2-D spectra retrieval
AB A practical method is suggested to quantitatively retrieve directional spectra of ocean surface waves from high-resolution satellite sun glitter imagery (SSGI). The method builds on direct determination of the imaging transfer function from the large-scale smoothed shape of sun glitter. Observed brightness modulations are then converted into sea surface elevations to perform directional spectral analysis. The method is applied to the Copernicus Sentinel-2 Multi-Spectral Instrument (MSI) measurements. Owing to the specific instrumental configuration of MSI (which has a primary mission dedicated to mapping of land surfaces), a physical angular difference between channel detectors on the instrument focal plane array can be used to efficiently determine the surface brightness gradients in two directions, i.e., in sensor zenith and azimuthal directions. In addition, the detector configuration of MSI means that a small temporal lag between channel acquisitions exists. This feature can be exploited to detect surface waves and infer their space-time characteristics using cross-channel correlation. We demonstrate how this can be used to remove directional ambiguity in 2-D detected wave spectra and to obtain information describing local dispersion relation of surface waves. Directional spectra derived from Sentinel-2 MSI SSGI are compared with in situ buoy measurements. We report an encouraging agreement between SSGI-derived wave spectra and in situ measurements.
PY 2017
PD FEB
SO Journal Of Geophysical Research-oceans
SN 2169-9275
PU Amer Geophysical Union
VL 122
IS 2
UT 000398063100034
BP 1369
EP 1383
DI 10.1002/2016JC012425
ID 49280
ER

EF