443 Detection of AMSR-E Radio Frequency Interference over Ocean Using a Double Principal Component Analysis Method

Monday, 7 January 2013
Exhibit Hall 3 (Austin Convention Center)
Xiaoxu Tian, Florida State University, Tallahassee, FL; and X. Zou

Abstract-Due to lower surface emissivity over ocean, detection of Radio Frequency Interference (RFI) in the space-borne microwave radiometer data is more difficult over ocean than over land. The presence of cloud and precipitation may produce many false RFI signals. . In this study, a double PCA (DPCA) method is developed for RFI detection, which is effective in detecting RFI signals in the C- and X-band radiometer channels of WindSat, AMSR-E and MWRI in any weather conditions over the globe. Results from applying DPCA for AMSR-E observations at 10.65 and 18.7 GHz will be presented. It is found that both channels are contaminated by RFI caused by geostationary communication satellites transmitting signals to Europe and United States. The proposed DPCA can be applied to satellite radiometer data swath-by- swath, does not required model simulations, and is thus applicable in an operational environment for fast processing and data dissemination.
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