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WIND RETRIEVALFOR CFOSCAT EDGE AND NADIR OBSERVATIONS BASED ON NEURAL NETWORKS AND IMPROVED PRINCIPLE COMPONENT ANALYSIS
Alternative TitleWOS:000519270607118
Xu, Xingou; Stoffelen, Ad1
Source Publication2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
2019
Pages8121-8124
Language英语
ISSN2153-6996
ISBN978-1-5386-9154-0
AbstractCFOSCAT is the first rotating fan-beam scatterometer in space. It is on board the China France Oceanography Satellite (CFOSAT) launched on 29th October, 2018. It can provide wind field products in the unit of Wind Vector Cells. One of the advantages for this novel antenna geometry is being able to obtain more observations of the scene, though for edge and nadir WVCs, sampling issues as well as larger noise level hinder wind retrievals. This is first analyzed in this paper and a new procedure is proposed, tailored for those observations of CFOSCAT. In the proposed method, wind speeds are retrieved from Neural Networks trained for specific edge and nadir WVCs, and based on the obtained speed, a modified principle component analysis (PCA) is applied for CFOSCAT wind direction retrieval. The new process chain is verified by simulated data, and further research is soon planned modifying it for real data after they are released.
KeywordCFOSAT Scatterometer edge and nadir WVCs wind field
Conference NameIEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Conference DateJUL 28-AUG 02, 2019
Conference PlaceYokohama, JAPAN
Indexed ByCPCI
Document Type会议论文
Identifierhttp://ir.nssc.ac.cn/handle/122/7796
Collection中国科学院国家空间科学中心
Affiliation1.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Microwave Remote Sensing, Beijing, Peoples R China
2.Royol Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
Recommended Citation
GB/T 7714
Xu, Xingou,Stoffelen, Ad. WIND RETRIEVALFOR CFOSCAT EDGE AND NADIR OBSERVATIONS BASED ON NEURAL NETWORKS AND IMPROVED PRINCIPLE COMPONENT ANALYSIS[C],2019:8121-8124.
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