@article{fdi:010040700,
  title = {{S}urface soil moisture estimation over the {AMMA} {S}ahelian site in {M}ali using {ENVISAT}/{ASAR} data},
  author = {{B}aup, {F}. and {M}ougin, {E}ric and {R}osnay, {P}. de and {T}imouk, {F}rank and {C}h{\^e}nerie, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his paper focuses on different methods for estimating soil moisture in a {S}ahelian environment by comparing {ENVISAT}/{ASAR} and ground data at the same spatial scale. {T}he analysis is restricted to {W}ide {S}wath data in order to take advantage of their high temporal repetitivity (about 3-4 days) corresponding to a moderate spatial resolution (150 m). {O}n the one hand, emphasis is put on the characterization of {S}urface {S}oil {M}oisture ({SSM}) at a spatial scale compatible with the derivation of the backscattering coefficients, and a transfer function is developed for up-scaling local measurements to the 1 km scale. {O}n the other hand, three different approaches are used to normalize the angular variation of the observed backscattering coefficients. {T}he results show a strong linear relationship between the {HH} normalized backscattering coefficients and {SSM}. {T}he best result is obtained when restricting the {ASAR} data to low incidence angles and by taking into account vegetation effects using multi-angular radar data. {F}or this case, the rms error of the {SSM} retrieval is 2.8%. {T}hese results highlight the capabilities of the {ASAR} instrument to monitor {SSM} in a semiarid environment.},
  keywords = {{ENVISAT} ; {ASAR} ; wide swath ; {S}ahel ; soil moisture},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {109},
  numero = {4},
  pages = {473--481},
  ISSN = {0034-4257},
  year = {2007},
  DOI = {10.1016/j.rse.2007.01.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010040700},
}