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

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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 languageEnglish
Title of host publicationProceedings of 10th European Conference on Synthetic Aperture Radar (EUSAR 2014)
Subtitle of host publication2-6 June 2014, Berlin, Germany
EditorsGerhard Krieger
PublisherVDE Verlag
Pages159 - 162
Number of pages4
ISBN (Electronic)9783800736072
Publication statusPublished - 2014
EventEuropean Conference on Synthetic Aperture Radar (EUSAR) 2014 - Berlin, Germany
Duration: 3 Jun 20145 Jun 2014
Conference number: 10th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6856711 (IEEE Conference Proceedings)


ConferenceEuropean Conference on Synthetic Aperture Radar (EUSAR) 2014
Abbreviated titleEUSAR 2014
Internet address

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