FN Archimer Export Format
PT J
TI Co-Cross-Polarization Coherence Over the Sea Surface From Sentinel-1 SAR Data: Perspectives for Mission Calibration and Wind Field Retrieval
BT 
AF LONGEPE, Nicolas
   MOUCHE, Alexis
   FERRO-FAMIL, Laurent
   HUSSON, Romain
AS 1:1,2;2:3;3:4;4:5;
FF 1:;2:PDG-ODE-LOPS-SIAM;3:;4:;
C1 Environment and Climate BU, Collecte Localisation Satellites (CLS), Plouzané, France
   Φ-Lab Explore Office, European Space Research Institute (ESRIN), European Space Agency (ESA), Frascati, Italy
   Laboratoire d’Océanographie Physique et Spatiale, Institut Francais de Recherche pour l’Exploitation de la Mer, Plouzané, France
   Remote Sensing Department, Institute of Electronics and Telecommunications of Rennes, University of Rennes 1, Rennes, France
   Space Observation Division, Environment and Climate BU, Collecte Localisation Satellites (CLS), Plouzané, France
C2 CLS, FRANCE
   ESRIN, ITALY
   IFREMER, FRANCE
   UNIV RENNES, FRANCE
   CLS, FRANCE
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-france
   copubli-europe
   copubli-univ-france
IF 8.2
TC 4
UR https://archimer.ifremer.fr/doc/00742/85382/99075.pdf
LA English
DT Article
DE ;Wind;Synthetic aperture radar;Sea measurements;Spaceborne radar;Sea surface;Radar;Wind speed;Dual-polarization;polarimetric calibration (PolCAL);Sentinel-1 (S-1);single look complex (SLC);synthetic aperture radar (SAR);wind field retrieval
AB Spaceborne synthetic aperture radar (SAR) has been used for years to estimate high-resolution surface wind field from the ocean surface backscattered signal. Current SAR platforms have one single fixed antenna, and traditional inversion/retrieval schemes rely on one copolarized channel, leading to an unconstrained optimization problem for providing independent estimates of wind speed and direction. For routine application, this is generally solved with a priori information from the numerical weather prediction (NWP) model, inducing severe limitations for rapidly evolving meteorological systems where discrepancies can be significant between model and measurements. In this study, we investigate the benefit of having two simultaneous acquisitions with phase-preserving information in copolarization and cross polarization provided by Sentinel-1 (S-1). A comprehensive analysis of the co-cross-polarization coherence (CCPC) is performed to adequately estimate and calibrate CCPC values from S-1 interferometric wide (IW) mode images acquired over the ocean. A new polarimetric calibration (PolCAL) methodology based on least-squares (LS) criterion and direct matrix inversion is proposed yielding crosstalk estimates. We document CCPC odd symmetry with respect to relative wind direction for light to medium wind speeds (up to 14 m/s) and incidence angle from 30x00B0; to 45x00B0;. The azimuthal modulation is found to increase with both wind speed and incidence angle. An analytical model C-band polarimetric geophysical model function (CPGMF) is provided. The synergy of the CCPC with other radar parameters, such as backscattering coefficients or Doppler, to further constrain the inversion scheme is assessed, opening new perspectives for SAR-based wind field retrieval independent of any NWP model information. 
PY 2022
SO Ieee Transactions On Geoscience And Remote Sensing
SN 0196-2892
PU Ieee-inst Electrical Electronics Engineers Inc
VL 60
UT 000728266600057
DI 10.1109/TGRS.2021.3055979
ID 85382
ER

EF