@article{fdi:010082821,
  title = {{A} new reflectivity index for the retrieval of surface soil moisture from radar data},
  author = {{Z}ribi, {M}. and {F}oucras, {M}. and {B}aghdadi, {N}. and {D}emarty, {J}{\'e}rome and {M}uddu, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} new approach based on the change detection technique is proposed for the estimation of surface soil moisture ({SSM}) from a time series of radar measurements. {A} new index of reflectivity ({IR}) is defined that uses radar signals and {F}resnel coefficients. {T}his index is equal to 0 in the case of the smallest value of the {F}resnel coefficient, corresponding to the driest conditions and the weakest radar signal, and is equal to 1 for the highest value of the {F}resnel coefficient, corresponding to the wettest soil conditions and the strongest radar signal. {T}he integrated equation model is used to simulate the behavior of radar signals as a function of soil moisture and roughness. {T}his approach validates the greater usefulness of the {IR} compared with that of the commonly used index of {SSM} (},
  keywords = {{S}paceborne radar ; {S}oil moisture ; {S}oil measurements ; {S}patial resolution ; {M}oisture ; {C}hange detection ; index of reflectivity ({IR}) ; index of surface ; soil moisture ({ISSM}) ; {S}entinel-1 ; surface soil moisture ({SSM}) ; radar ; {NIGER} ; {TUNISIE} ; {FRANCE} ; {BANIZOMBOU} ; {MERGUELLIL} ; {OCCITANIE}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {14},
  numero = {},
  pages = {818--826},
  ISSN = {1939-1404},
  year = {2021},
  DOI = {10.1109/jstars.2020.3033132},
  URL = {https://www.documentation.ird.fr/hor/fdi:010082821},
}