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Abstract
The objective of this paper is to extend the semi-empirical calibration of the backscattering Integral Equation Model (IEM) initially proposed for SAR data at C-and X-bands to SAR data at L band. A large dataset of radar signal and in situ measurements (soil moisture and surface roughness) over bare soil surfaces were used. A semi-empirical calibration of the IEM was performed at L band in replacing the correlation length derived from field experiments by a fitting parameter. Better agreement was observed between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.
Keywords
SAR DATA, FIELD-MEASUREMENTS, SURFACE-ROUGHNESS, RADAR IMAGES, MOISTURE, IEM, Integral Equation Model, Synthetic Aperture Radar, L-band, Bare soil

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Citation

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MLA
Baghdadi, Nicolas, et al. “Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering.” 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 2015, pp. 2000–03, doi:10.1109/IGARSS.2015.7326190.
APA
Baghdadi, N., Zribi, M., Paloscia, S., Verhoest, N., Lievens, H., Baup, F., & Mattia, F. (2015). Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering. 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2000–2003. https://doi.org/10.1109/IGARSS.2015.7326190
Chicago author-date
Baghdadi, Nicolas, Mehrez Zribi, Simonetta Paloscia, Niko Verhoest, Hans Lievens, Frederic Baup, and Francesco Mattia. 2015. “Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering.” In 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2000–2003. New York: IEEE. https://doi.org/10.1109/IGARSS.2015.7326190.
Chicago author-date (all authors)
Baghdadi, Nicolas, Mehrez Zribi, Simonetta Paloscia, Niko Verhoest, Hans Lievens, Frederic Baup, and Francesco Mattia. 2015. “Semi-Empirical Calibration of the Integral Equation Model for Co-Polarized L-Band Backscattering.” In 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2000–2003. New York: IEEE. doi:10.1109/IGARSS.2015.7326190.
Vancouver
1.
Baghdadi N, Zribi M, Paloscia S, Verhoest N, Lievens H, Baup F, et al. Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering. In: 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). New York: IEEE; 2015. p. 2000–3.
IEEE
[1]
N. Baghdadi et al., “Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering,” in 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), Milan, Italy, 2015, pp. 2000–2003.
@inproceedings{8030587,
  abstract     = {{The objective of this paper is to extend the semi-empirical calibration of the backscattering Integral Equation Model (IEM) initially proposed for SAR data at C-and X-bands to SAR data at L band. A large dataset of radar signal and in situ measurements (soil moisture and surface roughness) over bare soil surfaces were used. 
A semi-empirical calibration of the IEM was performed at L band in replacing the correlation length derived from field experiments by a fitting parameter. Better agreement was observed between the backscattering coefficient provided by the SAR and that simulated by the calibrated version of the IEM.}},
  author       = {{Baghdadi, Nicolas and Zribi, Mehrez and Paloscia, Simonetta and Verhoest, Niko and Lievens, Hans and Baup, Frederic and Mattia, Francesco}},
  booktitle    = {{2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)}},
  isbn         = {{9781479979295}},
  issn         = {{2153-6996}},
  keywords     = {{SAR DATA,FIELD-MEASUREMENTS,SURFACE-ROUGHNESS,RADAR IMAGES,MOISTURE,IEM,Integral Equation Model,Synthetic Aperture Radar,L-band,Bare soil}},
  language     = {{eng}},
  location     = {{Milan, Italy}},
  pages        = {{2000--2003}},
  publisher    = {{IEEE}},
  title        = {{Semi-empirical calibration of the integral equation model for co-polarized L-band backscattering}},
  url          = {{http://doi.org/10.1109/IGARSS.2015.7326190}},
  year         = {{2015}},
}

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