@article{fdi:010086096,
  title = {{E}stimating soil available water capacity within a {M}editerranean vineyard watershed using satellite imagery and crop model inversion},
  author = {{A}lkassem, {M}. and {B}uis, {S}. and {C}oulouma, {G}. and {J}acob, {F}r{\'e}d{\'e}ric and {L}agacherie, {P}. and {P}revot, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{S}oil available water capacity ({SAWC}) is a key factor to be considered when assessing soil capability to provide ecosystem services. {T}he current study deepens the use of remotely sensed data for mapping {SAWC} and its components from crop model inversion. {T}he inversion was conducted using the {STICS} ({S}imulateur mul{TI}-discplinaire pour les {C}ultures {S}tandard) crop model along with the {GLUE} ({G}eneralized {L}ikelihood {U}ncertainty {E}stimation) algorithm on a panel of 14 sites within a rainfed vineyard catchment located in {S}outhern {F}rance. {S}everal constraint variables derived from {L}andsat 7 {ETM} + satellite imagery (leaf area index -{LAI} -and evapotranspiration -{ET}) or in-situ measurements (surface soil moisture -{SSM}), were used in the inversion process alone or in combination. {T}hree main outcomes could be reported when comparing retrievals of both {SAWC} and its components against field estimates. {F}irst, retrievals were significantly correlated with ground estimates for some {SAWC} components and some scenarios of constraint variables, although overall retrieving performances were quite poor. {S}econd, poor retrieving performances for two scenarios of constraint variables were related to few sites for which specific processes were disregarded by the modelling framework, namely allochthonous water supply and waterlogging during wet autumn and summer. {T}hird, we could identify some promising combinations of constraint variables, after the removal of the aforementioned sites with specific processes. {T}hese promising combinations were ({LAI}, {ET}) and even more ({LAI}, {ET}, {SSM}) for estimating {SAWC} and root zone thickness, as well as {SSM} for estimating soil moistures at field capacity and wilting point of the topsoil layer. {P}rovided we can avoid site-specific processes, our approach may further provide spatial sampling of {SAWC} and related components, to be used as surrogate input data for {DSM} models.},
  keywords = {{D}igital soil mapping ; {R}emote sensing ; {C}rop model ; {I}nverse modelling ; {V}ineyard ; {S}oil available water capacity ; {FRANCE} ; {ZONE} {MEDITERRANEENNE} ; {OCCITANIE}},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {425},
  numero = {},
  pages = {116081 [13 p.]},
  ISSN = {0016-7061},
  year = {2022},
  DOI = {10.1016/j.geoderma.2022.116081},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086096},
}