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Communication Dans Un Congrès Année : 2017

New empirical model for radar scattering from bare soils

Nouveau modèle empirique pour la diffusion radar des sols nus

Résumé

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°-57°) 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).
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Dates et versions

hal-02605231 , version 1 (16-05-2020)

Identifiants

Citer

N. Baghdadi, M. Choker, Mehrez Zribi, M. El Hajj, S. Paloscia, et al.. New empirical model for radar scattering from bare soils. IGARSS 2017 - 2017 IEEE International Geoscience and Remote Sensing Symposium, Jul 2017, Fort Worth, United States. pp.4, ⟨10.1109/IGARSS.2017.8127912⟩. ⟨hal-02605231⟩
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