Conference paper
Surveys and Analysis of RFI in The Smos Context
Several soil moisture and sea salinity campaigns, including airborne L-band radiometer measurements, have been carried out in preparation for the ESA Soil Moisture and Ocean Salinity (SMOS) mission. The radiometer used in this context is fully polarimetric and is capable of detecting Radio Frequency Interference (RFI) using the kurtosis method.
Analyses have shown that the kurtosis method generally detects RFI in an efficient manner, even though it has its shortcomings. Hence, other detection methods have been investigated as well. In particular, inspection of the 3rd and 4th Stokes parameters shows promising results possibly as a complement to the kurtosis method.
The kurtosis method, however, cannot be used with SMOS data. Since SMOS is fully polarimetric, the 3rd and 4th Stokes parameter method is an option, and this has been used on a recent, fully polarimetric SMOS data set. Finally, a discussion of the variable incidence angle signature algorithm, and the possibility of using this as RFI indicator, is carried out.
| Language: | English |
|---|---|
| Publisher: | IEEE |
| Year: | 2010 |
| Pages: | 2011-2014 |
| Proceedings: | 30th International Geoscience and Remote Sensing symposium |
| ISBN: | 1424495644 , 1424495652 , 1424495660 , 9781424495641 , 9781424495658 and 9781424495665 |
| ISSN: | 21537003 and 21536996 |
| Types: | Conference paper |
| DOI: | 10.1109/IGARSS.2010.5649838 |
| ORCIDs: | Skou, Niels , Balling, Jan E. , Søbjærg, Sten Schmidl and Kristensen, Steen Savstrup |
3rd stokes parameter inspection 4th stokes parameter inspection Algorithm design and analysis Brightness temperature European Space Agency soil moisture Inspection L-band Microwave radiometry SMOS Sensitivity Stokes parameters airborne L-band radiometer measurement kurtosis kurtosis method microwave moisture ocean salinity oceanographic techniques radio frequency interference detection radio-frequency interference (RFI) radiofrequency interference radiometer radiometers sea salinity campaign soil variable incidence angle signature algorithm
