New empirical model for radar scattering from bare soils
- Author
- Nicolas Baghdadi, Mohammad Choker, Mehrez Zribi, Mohammad El Hajj, Simonetta Paloscia, Niko Verhoest (UGent) , Hans Lievens (UGent) , Frederic Baup and Francesco Mattia
- Organization
- Abstract
- The objective of this paper is to propose a new semi-empirical radar backscattering model for bare soil surfaces based on the Dubois model. A wide dataset of backscattering coefficients extracted from SAR (synthetic aperture radar) images and in situ soil surface parameter measurements (moisture content and roughness) is used. This dataset contains a wide range of incidence angles (18 degrees-57 degrees) and radar wavelengths (L, C, X), well distributed geographically for regions with different climate conditions (humid, semi-arid and arid sites) and involving many SAR sensors. The proposed model, developed in HH, HV and VV polarizations, uses a formulation of radar signals based on physical principles that validated in numerous studies. The results show that the new model shows a very good performance for different radar wavelength (L, C, X), incidence angles, and polarizations (Root Mean Square Error "RMSE" about 2 dB).
- Keywords
- TERRASAR-X DATA, AGRICULTURAL FIELDS, MOISTURE, SENSITIVITY, ROUGHNESS, New backscattering model, Dubois model, SAR images, Soil parameters
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8684950
- MLA
- Baghdadi, Nicolas, et al. “New Empirical Model for Radar Scattering from Bare Soils.” 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE, 2017, pp. 4139–42, doi:10.1109/IGARSS.2017.8127912.
- APA
- Baghdadi, N., Choker, M., Zribi, M., El Hajj, M., Paloscia, S., Verhoest, N., … Mattia, F. (2017). New empirical model for radar scattering from bare soils. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 4139–4142. https://doi.org/10.1109/IGARSS.2017.8127912
- Chicago author-date
- Baghdadi, Nicolas, Mohammad Choker, Mehrez Zribi, Mohammad El Hajj, Simonetta Paloscia, Niko Verhoest, Hans Lievens, Frederic Baup, and Francesco Mattia. 2017. “New Empirical Model for Radar Scattering from Bare Soils.” In 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 4139–42. New york: IEEE. https://doi.org/10.1109/IGARSS.2017.8127912.
- Chicago author-date (all authors)
- Baghdadi, Nicolas, Mohammad Choker, Mehrez Zribi, Mohammad El Hajj, Simonetta Paloscia, Niko Verhoest, Hans Lievens, Frederic Baup, and Francesco Mattia. 2017. “New Empirical Model for Radar Scattering from Bare Soils.” In 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 4139–4142. New york: IEEE. doi:10.1109/IGARSS.2017.8127912.
- Vancouver
- 1.Baghdadi N, Choker M, Zribi M, El Hajj M, Paloscia S, Verhoest N, et al. New empirical model for radar scattering from bare soils. In: 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS). New york: IEEE; 2017. p. 4139–42.
- IEEE
- [1]N. Baghdadi et al., “New empirical model for radar scattering from bare soils,” in 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), Fort Worth, TX, 2017, pp. 4139–4142.
@inproceedings{8684950,
abstract = {{The objective of this paper is to propose a new semi-empirical radar backscattering model for bare soil surfaces based on the Dubois model. A wide dataset of backscattering coefficients extracted from SAR (synthetic aperture radar) images and in situ soil surface parameter measurements (moisture content and roughness) is used. This dataset contains a wide range of incidence angles (18 degrees-57 degrees) and radar wavelengths (L, C, X), well distributed geographically for regions with different climate conditions (humid, semi-arid and arid sites) and involving many SAR sensors. The proposed model, developed in HH, HV and VV polarizations, uses a formulation of radar signals based on physical principles that validated in numerous studies. The results show that the new model shows a very good performance for different radar wavelength (L, C, X), incidence angles, and polarizations (Root Mean Square Error "RMSE" about 2 dB).}},
author = {{Baghdadi, Nicolas and Choker, Mohammad and Zribi, Mehrez and El Hajj, Mohammad and Paloscia, Simonetta and Verhoest, Niko and Lievens, Hans and Baup, Frederic and Mattia, Francesco}},
booktitle = {{2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS)}},
isbn = {{9781509049516}},
issn = {{2153-6996}},
keywords = {{TERRASAR-X DATA,AGRICULTURAL FIELDS,MOISTURE,SENSITIVITY,ROUGHNESS,New backscattering model,Dubois model,SAR images,Soil parameters}},
language = {{eng}},
location = {{Fort Worth, TX}},
pages = {{4139--4142}},
publisher = {{IEEE}},
title = {{New empirical model for radar scattering from bare soils}},
url = {{http://doi.org/10.1109/IGARSS.2017.8127912}},
year = {{2017}},
}
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