Publications des scientifiques de l'IRD

Gorrab A., Zribi M., Baghdadi N., Mougenot Bernard, Chabaane Z. L. (2015). Potential of X-band TerraSAR-X and COSMO-SkyMed SAR data for the assessment of physical soil parameters. Remote Sensing, 7 (1), p. 747-766. ISSN 2072-4292.

Titre du document
Potential of X-band TerraSAR-X and COSMO-SkyMed SAR data for the assessment of physical soil parameters
Année de publication
2015
Type de document
Article référencé dans le Web of Science WOS:000348401900037
Auteurs
Gorrab A., Zribi M., Baghdadi N., Mougenot Bernard, Chabaane Z. L.
Source
Remote Sensing, 2015, 7 (1), p. 747-766 ISSN 2072-4292
The aim of this paper is to analyze the potential of X-band SAR measurements (COSMO-SkyMed and TerraSAR-X) made over bare soils for the estimation of soil moisture and surface geometry parameters at a semi-arid site in Tunisia (North Africa). Radar signals acquired with different configurations (HH and VV polarizations, incidence angles of 26 degrees and 36 degrees) are statistically compared with ground measurements (soil moisture and roughness parameters). The radar measurements are found to be highly sensitive to the various soil parameters of interest. A linear relationship is determined for the radar signals as a function of volumetric soil moisture, and a logarithmic correlation is observed between the radar signals and three surface roughness parameters: the root mean square height (Hrms), the parameter Zs = Hrms(2)/l (where l is the correlation length) and the parameter Zg = Hrms x (Hrms/l)(alpha) (where a is the power of the surface height correlation function). The highest dynamic sensitivity is observed for Zg at high incidence angles. Finally, the performance of different physical and semi-empirical backscattering models (IEM, Baghdadi-calibrated IEM and Dubois models) is compared with SAR measurements. The results provide an indication of the limits of validity of the IEM and Dubois models, for various radar configurations and roughness conditions. Considerable improvements in the IEM model performance are observed using the Baghdadi-calibrated version of this model.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020] ; Bioclimatologie [072] ; Télédétection [126]
Description Géographique
TUNISIE
Localisation
Fonds IRD [F B010063891]
Identifiant IRD
fdi:010063891
Contact