@article{fdi:010086337,
  title = {{A}irborne {GNSS}-{R} polarimetric multiincidence data analysis for surface soil moisture estimation over an agricultural site},
  author = {{Z}ribi, {M}. and {D}ehaye, {V}. and {D}assas, {K}. and {F}anise, {P}ascal and {L}e {P}age, {M}ichel and {L}aluet, {P}. and {B}oone, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he objective of this study is to propose a mapping of surface soil moisture ({SSM}) using airborne measurements based on the {GLO}bal {N}avigation {S}atellite {S}ystem {R}eflectometry {I}nstrument, a polarimetric instrument. {GNSS}-{R} measurements were acquired at the agricultural {U}rgell site in {S}pain in {J}uly 2021. {I}n situ measurements describing the soil moisture and roughness and the vegetation cover leaf area index were then obtained simultaneously with flight measurements. {A}n analysis of observable copolarization (right-right) reflectivity {G}amma({RR}) and the cross-polarization (right-left) reflectivity {G}amma({RL}) behaviors as a function of incidence angle is proposed, as is normalization of the reflectivity function of the incidence angle. {T}he sensitivity of reflectivities is then proposed as a function of surface soil moisture. {A}n empirical model with two variables, soil moisture, and the normalized difference vegetation index, based on the principle of the tau-omega model is then considered for the inversion of {GNSS}-{R} reflectivity {G}amma({RL}) and estimation of soil moisture. {T}his model is calibrated and validated by a threefold cross-validation approach. {A} mapping of {SSM} at 100 m resolution is created with data from the studied site and three acquired flights.},
  keywords = {{A}irborne ; {GLO}bal {N}avigation {S}atellite {S}ystem {R}eflectometry {I}nstrument ; {GNSS}-{R} ; inverssion ; surface soil moisture ; {ESPAGNE} ; {CATALOGNE} ; {URGELL}},
  booktitle = {},
  journal = {{IEEE} {J}ournal of {S}elected {T}opics in {A}pplied {E}arth {O}bservations and {R}emote {S}ensing},
  volume = {15},
  numero = {},
  pages = {8432--8441},
  ISSN = {1939-1404},
  year = {2022},
  DOI = {10.1109/jstars.2022.3208838},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086337},
}