Surveys and Analysis of RFI in The Smos Context

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2010

Standard

Surveys and Analysis of RFI in The Smos Context. / Skou, Niels; Balling, Jan E.; Søbjærg, Sten Schmidl; Kristensen, Steen Savstrup.

International Geoscience and Remote Sensing Symposium. IEEE, 2010. p. 2011-2014.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2010

Harvard

Skou, N, Balling, JE, Søbjærg, SS & Kristensen, SS 2010, 'Surveys and Analysis of RFI in The Smos Context'. in International Geoscience and Remote Sensing Symposium. IEEE, pp. 2011-2014., 10.1109/IGARSS.2010.5649838

APA

Skou, N., Balling, J. E., Søbjærg, S. S., & Kristensen, S. S. (2010). Surveys and Analysis of RFI in The Smos Context. In International Geoscience and Remote Sensing Symposium. (pp. 2011-2014). IEEE. 10.1109/IGARSS.2010.5649838

CBE

Skou N, Balling JE, Søbjærg SS, Kristensen SS. 2010. Surveys and Analysis of RFI in The Smos Context. In International Geoscience and Remote Sensing Symposium. IEEE. pp. 2011-2014. Available from: 10.1109/IGARSS.2010.5649838

MLA

Skou, Niels et al. "Surveys and Analysis of RFI in The Smos Context". International Geoscience and Remote Sensing Symposium. IEEE. 2010. 2011-2014. Available: 10.1109/IGARSS.2010.5649838

Vancouver

Skou N, Balling JE, Søbjærg SS, Kristensen SS. Surveys and Analysis of RFI in The Smos Context. In International Geoscience and Remote Sensing Symposium. IEEE. 2010. p. 2011-2014. Available from: 10.1109/IGARSS.2010.5649838

Author

Skou, Niels; Balling, Jan E.; Søbjærg, Sten Schmidl; Kristensen, Steen Savstrup / Surveys and Analysis of RFI in The Smos Context.

International Geoscience and Remote Sensing Symposium. IEEE, 2010. p. 2011-2014.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2010

Bibtex

@inbook{15b53d677d3b4b5a832a29dacbcc682c,
title = "Surveys and Analysis of RFI in The Smos Context",
author = "Niels Skou and Balling, {Jan E.} and Søbjærg, {Sten Schmidl} and Kristensen, {Steen Savstrup}",
note = "Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2010",
doi = "10.1109/IGARSS.2010.5649838",
isbn = "9781424495665",
pages = "2011--2014",
booktitle = "International Geoscience and Remote Sensing Symposium",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Surveys and Analysis of RFI in The Smos Context

AU - Skou,Niels

AU - Balling,Jan E.

AU - Søbjærg,Sten Schmidl

AU - Kristensen,Steen Savstrup

N1 - Copyright 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

U2 - 10.1109/IGARSS.2010.5649838

DO - 10.1109/IGARSS.2010.5649838

M3 - Article in proceedings

SN - 9781424495665

SP - 2011

EP - 2014

BT - International Geoscience and Remote Sensing Symposium

T2 - International Geoscience and Remote Sensing Symposium

PB - IEEE

ER -