FN Archimer Export Format
PT J
TI Wave Breaking in Slicks: Impacts on C-Band Quad-Polarized SAR Measurements
BT 
AF WERGELAND, Morten
   KUDRYAVTSEV, Vladimir
   CHAPRON, Bertrand
   BREKKE, Camilla
   JOHANNESSEN, Johnny A.
AS 1:1;2:2,3,4;3:5;4:6;5:1;
FF 1:;2:;3:PDG-ODE-LOPS-SIAM;4:;5:;
C1 Nansen Environm & Remote Sensing Ctr, N-5006 Bergen, Norway.
   Russian State Hydrometeorol Univ, St Petersburg 195196, Russia.
   Marine Hydrophys Inst, Sevastopol 99011, Ukraine.
   Nansen Environm & Remote Sensing Ctr, N-5006 Bergen, Norway.
   Ifremer CERSAT, F-29280 Plouzane, France.
   Univ Tromso, Dept Phys & Technol, N-9019 Tromso, Norway.
C2 NERSC, NORWAY
   UNIV RUSSIAN STATE HYDROMETEOROL, RUSSIA
   MARINE HYDROPHYS INST, UKRAINE
   NERSC, NORWAY
   IFREMER, FRANCE
   UNIV TROMSO, NORWAY
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   copubli-europe
   copubli-int-hors-europe
   copubli-sud
IF 2.913
TC 32
UR https://archimer.ifremer.fr/doc/00363/47460/47484.pdf
LA English
DT Article
DE ;Oil pollution;radar imaging;sea surface;surface waves
AB Radarsat-2 C-band quad-polarization SAR observations of crude oil, emulsion, and plant oil slicks acquired in the wind speed range from 4 to 8 m/s and incidence angles from 30 degrees to 50 degrees are analyzed to yield new insights into the attenuation of short waves and breaking waves by surface slicks in real conditions. To provide a direct quantitative assessment of the surface wave damping, the measurements are decomposed into polarization difference (PD), polarization ratio (PR), nonpolarized (NP), and cross-polarized (CP) components. The PD signals relate to the extent of Bragg damping in the slick areas, over which the PR is systematically higher than over the ambient sea surface. Attenuation of the breaking waves is revealed to affect both the CP and the NP signals, with distinct but weaker contrasts compared to that of the PD. A revised physical model description is proposed to provide consistent interpretation of the polarized and NP signals. The results suggest that the different slick types and look-alikes can be efficiently discriminated and classified.
PY 2016
PD NOV
SO Ieee Journal Of Selected Topics In Applied Earth Observations And Remote Sensing
SN 1939-1404
PU Ieee-inst Electrical Electronics Engineers Inc
VL 9
IS 11
UT 000388871500005
BP 4929
EP 4940
DI 10.1109/JSTARS.2016.2587840
ID 47460
ER

EF