Study on retrieving ocean surface wind based on sea statistical parameters using reflected GNSS signals measured from aircraft
The GNSS-R (Global Navigation Satellite System Reflectometry) technique has been envisaged as a promising lowcost complementary passive remote sensing tool to conventional active instruments for ocean,land and ice monitoring over the last decade.For the ocean surface wind retrieval of GNSS-R,the approach of fitting real measurements to a forward scattering model tuned with wind speed is used usually.To avoid the low accuracy and difficult acquirement of wind direction using this approach,the relationship between sea surface statistical parameters and wind speed,wind direction were researched.Moreover,the real sea surface statistical parameters were obtained through nonlinear optimization combining the aircraft data,accordingly the sea surface wind was retrieved.The results show good agreement with retrieved wind and other acquirable ways.
GNSS-R forward scattering surface mean square slope ocean surface wind retrieval
Yingqiang Wang Jiaqing Chen Xiangyu Liu Yeying Wang Zhaolin Liu Ping Li
National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering,PLA PLA Unit 61855,Beijing,China PLA Unit 73666,Nanjing,China College of Science,PLA Univ.ofSci & Tech.,Nanjing,China
国际会议
Asia-Pacific Conference on Environmental Electromagnetics (2012年第六届亚太环境电磁学会议(CEEM 2012))
上海
英文
84-87
2012-11-06(万方平台首次上网日期,不代表论文的发表时间)