NSSC OpenIR  > 微波遥感部
THE OCEAN SURFACE CURRENT INVERSION MEHTOD OF DOPPLER SCATTEROMETER
Bao, Qingliu; Lin, Mingsen; Zhang, Youguang; Dong, Xiaolong; Lang, Shuyan; Gong, Peng
Department微波遥感部
Source Publication2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)
2017
Pages1962-1965
Language英语
ISSN2153-6996
ISBN978-1-5090-4951-6
AbstractOcean surface current is a very important parameter of ocean dynamic environment. The observation and prediction of ocean surface current has attracted more and more concern. Doppler Scatterometer (DopScat) is a new type of radar for ocean surface wind and current field remote sensing. The ocean surface current inversion method of DopScat impacts the measurement accuracy directly. In this paper, we establishes the Maximum Likelihood Estimation(MLE) method to retrieve the ocean surface current and wind simultaneously. The retrieval accuracy for different position in cross-track, wind speed, and current speed are analyzed. The retrieval results show that the RMS of inversion current speed and direction can be smaller than 0.18m/s and 25 degrees respectively, for medium wind speed condition. This is submitted for the special session of "New Developments of Chinese Oceanographic and Meteorological Satellites".
KeywordDoppler Scatterometer Ocean Surface Current Inversion Maximum Likelihood Estimation Measurement Accuracy
Conference NameIEEE International Geoscience & Remote Sensing Symposium
Conference DateJUL 23-28, 2017
Conference PlaceFort Worth, TX
Indexed ByCPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/6275
Collection微波遥感部
Recommended Citation
GB/T 7714
Bao, Qingliu,Lin, Mingsen,Zhang, Youguang,et al. THE OCEAN SURFACE CURRENT INVERSION MEHTOD OF DOPPLER SCATTEROMETER[C],2017:1962-1965.
Files in This Item:
File Name/Size DocType Version Access License
201708127364.pdf(142KB)会议论文 开放获取CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bao, Qingliu]'s Articles
[Lin, Mingsen]'s Articles
[Zhang, Youguang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bao, Qingliu]'s Articles
[Lin, Mingsen]'s Articles
[Zhang, Youguang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bao, Qingliu]'s Articles
[Lin, Mingsen]'s Articles
[Zhang, Youguang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.