@incollection{fdi:010072198,
  title = {{X}-band {T}erra{SAR}-{X} and {COSMO}-{S}ky{M}ed {SAR} data for bare soil parameters estimation},
  author = {{G}orrab, {A}. and {Z}ribi, {M}. and {B}aghdadi, {N}. and {M}ougenot, {B}ernard and {C}habaane, {Z}.{L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he goal of this paper is to analyze the potential of {COSMO}-{S}ky{M}ed and {T}erra{SAR}-{X} {SAR} measurements over bare soils in order to estimate correctly soil parameters. {W}e analyzed statistically the relationships between {X}-{SAR} backscattering signals function of soil moisture and different roughness parameters (the root mean square height {H}rms, the {Z}s parameter and the {Z}g parameter) at {HH} polarization and for an incidence angle about 35.5 degrees. {R}esults have shown a high sensitivity of real radar data to the two soil parameters: roughness and moisture. {A} linear relationship is obtained between volumetric soil moisture and radar signal with the strongest correlation observed with gravimetric moisture measurements. {A} logarithmic correlation is observed between backscattering coefficient and all roughness parameters. {T}he highest dynamic sensitivity is obtained with {Z}g parameter.},
  keywords = {{TUNISIE}},
  booktitle = {2014 {IEEE} international geoscience and remote sensing symposium proceedings},
  numero = {},
  pages = {3224--3227},
  address = {{P}iscataway},
  publisher = {{IEEE}},
  series = {},
  year = {2014},
  DOI = {10.1109/igarss.2014.6947165},
  ISBN = {978-1-4799-5775-0},
  URL = {https://www.documentation.ird.fr/hor/fdi:010072198},
}