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Detection and analysis of C-Band radio frequency interference in AMSR2 data over land

Wu Ying, Qian Bo, Bao Yansong, Li Meixin, Petropoulos Georgios, Liu Xulin, Li Lin

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URIhttp://purl.tuc.gr/dl/dias/FF4A2BAC-9AFF-4BBC-A3AE-0BCFE7798470-
Identifierhttps://doi.org/10.3390/rs11101228-
Identifierhttps://www.mdpi.com/2072-4292/11/10/1228-
Languageen-
Extent19 pagesen
TitleDetection and analysis of C-Band radio frequency interference in AMSR2 data over landen
CreatorWu Yingen
CreatorQian Boen
CreatorBao Yansongen
CreatorLi Meixinen
CreatorPetropoulos Georgiosen
CreatorΠετροπουλος Γεωργιοςel
CreatorLiu Xulinen
CreatorLi Linen
PublisherMDPIen
Content SummaryA simplified generalized radio frequency interference (RFI) detection method and principal component analysis (PCA) method are utilized to detect and attribute the sources of C-band RFI in AMSR2 L1 brightness temperature data over land during 1-16 July 2017. The results show that the consistency between the two methods provides confidence that RFI may be reliably detected using either of the methods, and the only difference is that the scope of the RFI-contaminated area identified by the former algorithm is larger in some areas than that using the latter method. Strong RFI signals at 6.925 GHz are mainly distributed in the United States, Japan, India, Brazil, and some parts of Europe; meanwhile, RFI signals at 7.3 GHz are mainly distributed in Latin America, Asia, Southern Europe, and Africa. However, no obvious 7.3 GHz RFI appears in the United States or India, indicating that the 7.3 GHz channels mitigate the effects of the C-band RFI in these regions. The RFI signals whose position does not vary with the Earth azimuth of the observations generally come from stable, continuous sources of active ground-based microwave radiation, while the RFI signals which are observed only in some directions on a kind of scanning orbit (ascending/descending) mostly arise from reflected geostationary satellite signals.en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2020-06-15-
Date of Publication2019-
SubjectAMSR2en
SubjectC-banden
SubjectGeneralized RFI detection methoden
SubjectPrincipal component analysis (PCA) methoden
SubjectRadio frequency interference (RFI)en
Bibliographic CitationY. Wu, B. Qian, Y. Bao, M. Li, G.P. Petropoulos, X. Liu and L.Li, "Detection and analysis of C-Band radio frequency interference in AMSR2 data over land," Remote Sens., vol. 11, no. 10, May 2019. doi: 10.3390/rs11101228en

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