ESA's soil moisture and ocean salinity mission, SMOS, has been found to suffer much more from radio frequency interference (RFI) than expected, and methods for detecting RFI in SMOS data are of vital importance. This paper describes a method using the 3rd and 4th Stokes parameters for the purpose. Obvious hot-spots are detected, but also smaller, yet still detrimental RFI, spreading out over for example the ocean, is detected. It is also discussed how detected and flagged samples statistically deviate from their surroundings.
|Title of host publication||IEEE International Geoscience and Remote Sensing Symposium proceedings|
|Publication status||Published - 2012|
|Event||IEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth - Munich, Germany|
Duration: 22 Jul 2012 → 27 Jul 2012
|Conference||IEEE International Geoscience and Remote Sensing Symposium|
|Period||22/07/2012 → 27/07/2012|
|Series||IEEE International Geoscience and Remote Sensing Symposium|