RFI in SMOS data detected by polarimetry

Steen Savstrup Kristensen; Jan E. Balling; Niels Skou; Sten Schmidl Søbjærg

doi:10.1109/IGARSS.2012.6350593

RFI in SMOS data detected by polarimetry

Steen Savstrup Kristensen, Jan E. Balling, Niels Skou, Sten Schmidl Søbjærg

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

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.

Original language	English
Title of host publication	IEEE International Geoscience and Remote Sensing Symposium proceedings
Publisher	IEEE
Publication date	2012
Pages	3320-3323
ISBN (Print)	9781467311601
DOIs	https://doi.org/10.1109/IGARSS.2012.6350593
Publication status	Published - 2012
Event	2012 IEEE International Geoscience and Remote Sensing Symposium: Remote Sensing for a Dynamic Earth - Munich, Germany Duration: 22 Jul 2012 → 27 Jul 2012 https://ieeexplore.ieee.org/xpl/conhome/6334512/proceeding

Conference

Conference	2012 IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	Germany
City	Munich
Period	22/07/2012 → 27/07/2012
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6334512/proceeding

Series	IEEE International Geoscience and Remote Sensing Symposium
ISSN	2153-6996

Keywords

Clutter

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10.1109/IGARSS.2012.6350593

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title = "RFI in SMOS data detected by polarimetry",

abstract = "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.",

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language = "English",

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series = "IEEE International Geoscience and Remote Sensing Symposium",

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booktitle = "IEEE International Geoscience and Remote Sensing Symposium proceedings",

publisher = "IEEE",

address = "United States",

note = "2012 IEEE International Geoscience and Remote Sensing Symposium : Remote Sensing for a Dynamic Earth, IGARSS 2012 ; Conference date: 22-07-2012 Through 27-07-2012",

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Kristensen, SS , Balling, JE , Skou, N & Søbjærg, SS 2012, RFI in SMOS data detected by polarimetry. in IEEE International Geoscience and Remote Sensing Symposium proceedings. IEEE, IEEE International Geoscience and Remote Sensing Symposium, pp. 3320-3323, 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Bavaria, Germany, 22/07/2012. https://doi.org/10.1109/IGARSS.2012.6350593

RFI in SMOS data detected by polarimetry. / Kristensen, Steen Savstrup ; Balling, Jan E.; Skou, Niels et al.
IEEE International Geoscience and Remote Sensing Symposium proceedings. IEEE, 2012. p. 3320-3323 (IEEE International Geoscience and Remote Sensing Symposium).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - 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.

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EP - 3323

BT - IEEE International Geoscience and Remote Sensing Symposium proceedings

PB - IEEE

T2 - 2012 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 22 July 2012 through 27 July 2012

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RFI in SMOS data detected by polarimetry

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