FN Archimer Export Format
PT J
TI A Geophysical Model Function for Wind Speed Retrieval from C-Band HH-polarized Synthetic Aperture Radar
BT 
AF Zhang, Biao
   MOUCHE, Alexis
   Lu, Yiru
   Perrie, William
   Zhang, Guosheng
   Wang, He
AS 1:1;2:2;3:1;4:3;5:1;6:4;
FF 1:;2:PDG-ODE-LOPS-SIAM;3:;4:;5:;6:;
C1 School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
   IFREMER, Univ. Brest, CNRS, IRD, Laboratoire d'Océanographie Physique et Spatiale (LOPS), Brest, France
   Bedford Institute of Oceanography, Fisheriesand Oceans Canada, Dartmouth, NS B2Y 4A2, Canada
   National Ocean Technology Center, State Oceanic Administration, Tianjing, China
C2 UNIV NANJING, CHINA
   IFREMER, FRANCE
   MPO BEDFORD INST OCEANOG, CANADA
   SOA, CHINA
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer UMR
   copubli-int-hors-europe
   copubli-sud
IF 3.833
TC 33
UR https://archimer.ifremer.fr/doc/00485/59715/90122.pdf
LA English
DT Article
DE ;HH-polarization;ocean surface wind speed;synthetic aperture radar (SAR)
AB Synthetic aperture radar (SAR) imagery is routinely acquired at HH-polarization in high latitude areas for measuring surface wind over the ocean. However, in the contrary of VV-polarization, there is no HH-polarization geophysical model function (GMF) exists to directly retrieve wind speed from SAR images. In general, HH-polarized Normalized Radar Cross Section (NRCS) is thus converted into VV-polarization and then conventional CMOD functions are used with auxiliary wind direction information for wind speed retrieval. In this letter, we propose a new GMF for SAR ocean surface wind speed retrieval, called CMODH, which relates the C-band NRCS acquired at HH-polarization over the ocean, to the 10-m height wind speed, incident angle and relative wind direction. We first use more than 220,000 ENVISAT ASAR radar backscatter measurements collocated with ASCAT winds to derive the CMODH coefficients. Subsequently, 1459 RADARSAT-2 (RS-2) and 428 Sentinel-1A/B (Sl-1A/B) HH-polarized SAR acquisitions under different wind speeds are matched to in situ buoy observations to validate CMODH. The statistical comparisons between SAR-observed and simulated NRCS show a bias of -0.07 dB and a root mean square error of 1.62 dB for RS-2, and -0.01 dB and 2.48 dB for S1-1A/B. These results suggest that the proposed CMODH has the potential to directly retrieve ocean surface wind speeds using C-band SAR images acquired at HH-polarization, with no need for NRCS transformation by using various empirical and theoretical polarization ratio models. 
PY 2019
PD OCT
SO Ieee Geoscience And Remote Sensing Letters
SN 1545-598X
PU Institute of Electrical and Electronics Engineers
VL 16
IS 10
UT 000489756100003
BP 1521
EP 1525
DI 10.1109/LGRS.2019.2905578
ID 59715
ER

EF