A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces

Jeffrey D. Ouellette; Joel T. Johnson; Anna Balenzano; Francesco Mattia; Giuseppe Satalino; Seungbum Kim; Jeff P. Walker; Rocco Panciera

doi:10.1109/USNC-URSI-NRSM.2014.6928033

A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces

Jeffrey D. Ouellette, Joel T. Johnson, Anna Balenzano, Francesco Mattia, Giuseppe Satalino, Seungbum Kim, Jeff P. Walker, Rocco Panciera

Civil Engineering

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

1 Citation (Scopus)

Abstract

Radar retrieval of soil moisture from vegetated surfaces tend to be complex, requiring a robust forward model and detailed ancillary information of the observed scene. Robust forward models for scattering of electromagnetic waves from natural scenes are difficult to achieve, particularly in the presence of vegetation. This study reports on a radar soil moisture retrieval algorithm that reduces the need for a robust forward model. The method is based on the algorithm developed in [1], but generalized to apply to an arbitrary number of polarizations.

Original language	English
Title of host publication	Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014)
Subtitle of host publication	2-6 June 2014, Berlin, Germany
Editors	Gerhard Krieger
Publisher	VDE Verlag
Pages	159 - 162
Number of pages	4
ISBN (Electronic)	9783800736072
DOIs	https://doi.org/10.1109/USNC-URSI-NRSM.2014.6928033
Publication status	Published - 2014
Event	European Conference on Synthetic Aperture Radar (EUSAR) 2014 - Berlin, Germany Duration: 3 Jun 2014 → 5 Jun 2014 Conference number: 10th http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6856711 (IEEE Conference Proceedings)

Conference

Conference	European Conference on Synthetic Aperture Radar (EUSAR) 2014
Abbreviated title	EUSAR 2014
Country/Territory	Germany
City	Berlin
Period	3/06/14 → 5/06/14
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6856711 (IEEE Conference Proceedings)

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10.1109/USNC-URSI-NRSM.2014.6928033

Cite this

Ouellette, J. D., Johnson, J. T., Balenzano, A., Mattia, F., Satalino, G., Kim, S., Walker, J. P., & Panciera, R. (2014). A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces. In G. Krieger (Ed.), Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014): 2-6 June 2014, Berlin, Germany (pp. 159 - 162). [6856753] VDE Verlag. https://doi.org/10.1109/USNC-URSI-NRSM.2014.6928033

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title = "A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces",

abstract = "Radar retrieval of soil moisture from vegetated surfaces tend to be complex, requiring a robust forward model and detailed ancillary information of the observed scene. Robust forward models for scattering of electromagnetic waves from natural scenes are difficult to achieve, particularly in the presence of vegetation. This study reports on a radar soil moisture retrieval algorithm that reduces the need for a robust forward model. The method is based on the algorithm developed in [1], but generalized to apply to an arbitrary number of polarizations.",

author = "Ouellette, {Jeffrey D.} and Johnson, {Joel T.} and Anna Balenzano and Francesco Mattia and Giuseppe Satalino and Seungbum Kim and Walker, {Jeff P.} and Rocco Panciera",

year = "2014",

doi = "10.1109/USNC-URSI-NRSM.2014.6928033",

language = "English",

pages = "159 -- 162",

editor = "Gerhard Krieger",

booktitle = "Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014)",

publisher = "VDE Verlag",

address = "Germany",

note = "European Conference on Synthetic Aperture Radar (EUSAR) 2014, EUSAR 2014 ; Conference date: 03-06-2014 Through 05-06-2014",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6856711",

}

Ouellette, JD, Johnson, JT, Balenzano, A, Mattia, F, Satalino, G, Kim, S, Walker, JP & Panciera, R 2014, A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces. in G Krieger (ed.), Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014): 2-6 June 2014, Berlin, Germany., 6856753, VDE Verlag, pp. 159 - 162, European Conference on Synthetic Aperture Radar (EUSAR) 2014, Berlin, Berlin, Germany, 3/06/14. https://doi.org/10.1109/USNC-URSI-NRSM.2014.6928033

A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces. / Ouellette, Jeffrey D.; Johnson, Joel T.; Balenzano, Anna et al.

Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014): 2-6 June 2014, Berlin, Germany. ed. / Gerhard Krieger. VDE Verlag, 2014. p. 159 - 162 6856753.

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

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AU - Balenzano, Anna

AU - Mattia, Francesco

AU - Satalino, Giuseppe

AU - Kim, Seungbum

AU - Walker, Jeff P.

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AB - Radar retrieval of soil moisture from vegetated surfaces tend to be complex, requiring a robust forward model and detailed ancillary information of the observed scene. Robust forward models for scattering of electromagnetic waves from natural scenes are difficult to achieve, particularly in the presence of vegetation. This study reports on a radar soil moisture retrieval algorithm that reduces the need for a robust forward model. The method is based on the algorithm developed in [1], but generalized to apply to an arbitrary number of polarizations.

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BT - Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014)

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Ouellette JD, Johnson JT, Balenzano A, Mattia F, Satalino G, Kim S et al. A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces. In Krieger G, editor, Proceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014): 2-6 June 2014, Berlin, Germany. VDE Verlag. 2014. p. 159 - 162. 6856753 https://doi.org/10.1109/USNC-URSI-NRSM.2014.6928033

A study of soil moisture estimation from multi-temporal L-band radar observations of vegetated surfaces

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