FN Archimer Export Format
PT J
TI Preliminary Analysis of Chinese GF-3 SAR Quad-Polarization Measurements to Extract Winds in Each Polarization
BT 
AF REN, Lin
   YANG, Jingsong
   MOUCHE, Alexis
   WANG, He
   WANG, Juan
   ZHENG, Gang
   ZHANG, Huaguo
AS 1:1;2:1;3:2;4:3;5:1;6:1;7:1;
FF 1:;2:;3:PDG-ODE-LOPS-SIAM;4:;5:;6:;7:;
C1 State Ocean Adm, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou 310012, Zhejiang, Peoples R China.
   Inst Francais Rech Exploitat 9 Mer, Lab Oceanog Phys & Spatiale, F-29280 Brest, France.
   State Ocean Adm, Natl Ocean Technol Ctr, Tianjin 300112, Peoples R China.
C2 SIO, CHINA
   IFREMER, FRANCE
   SIO, CHINA
SI BREST
SE PDG-ODE-LOPS-SIAM
UM LOPS
IN WOS Ifremer jusqu'en 2018
   DOAJ
   copubli-int-hors-europe
   copubli-sud
IF 3.406
TC 30
UR https://archimer.ifremer.fr/doc/00420/53104/54059.pdf
LA English
DT Article
DE ;Gaofen-3;synthetic aperture radar;quad-polarization;ocean surface wind;noise equivalent sigma zero;geophysical model function;polarization ratio;polarization difference
AB This study analyzed the noise equivalent sigma zero (NESZ) and ocean wind sensitivity for Chinese C-band Gaofen-3 (GF-3) quad-polarization synthetic aperture radar (SAR) measurements to facilitate further operational wind extraction from GF-3 data. Data from the GF-3 quad-polarization SAR and collocated winds from both NOAA/NCEP Global Forecast System (GFS) atmospheric model and National Data Buoy Center (NDBC) buoys were used in the analysis. For NESZ, the co-polarization was slightly higher compared to the cross-polarization. Regarding co-polarization and cross-polarization, NESZ was close to RadarSAT-2 and Sentinel-1 A. Wind sensitivity was analyzed by evaluating the dependence on winds in terms of normalized radar cross-sections (NRCS) and polarization combinations. The closest geophysical model function (GMF) and the polarization ratio (PR) model to GF-3 data were determined by comparing data and the model results. The dependence of co-polarized NRCS on wind speed and azimuth angle was consistent with the proposed GMF models. The combination of CMOD5 and CMOD5.N was considered to be the closest GMF in co-polarization. The cross-polarized NRCS exhibited a strong linear relationship with moderate wind speeds higher than 4 ms-1, but a weak correlation with the azimuth angle. The proposed model was considered as the closest GMF in cross-polarization. For polarization combinations, PR and polarization difference (PD) were considered. PR increased only with the incidence angle, whereas PD increased with wind speed and varied with azimuth angle. There were three very close PR models and each can be considered as the closest. Preliminary results indicate that GF-3 quad-polarization data are valid and have the ability to extract winds in each polarization. 
PY 2017
PD DEC
SO Remote Sensing
SN 2072-4292
PU Mdpi Ag
VL 9
IS 12
UT 000419235700011
DI 10.3390/rs9121215
ID 53104
ER

EF