@article{PAR00012462,
  title = {{C}omparison of {SMOS} and {SMAP} soil moisture retrieval approaches using tower-based radiometer data over a vineyard field},
  author = {{M}iernecki, {M}. and {W}igneron, {J}. {P}. and {L}opez-{B}aeza, {E}. and {K}err, {Y}ann and {D}e {J}eu, {R}. and {D}e {L}annoy, {G}. {J}. {M}. and {J}ackson, {T}. {J}. and {O}'{N}eill, {P}. {E}. and {S}chwank, {M}. and {M}oran, {R}. {F}. and {B}ircher, {S}. and {L}awrence, {H}. and {M}ialon, {A}. and {A}l {B}itar, {A}. and {R}ichaume, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he objective of this study was to compare several approaches to soil moisture ({SM}) retrieval using {L}-band microwave radiometry. {T}he comparison was based on a brightness temperature ({T}-{B}) data set acquired since 2010 by the {L}-band radiometer {ELBARA}-{II} over a vineyard field at the {V}alencia {A}nchor {S}tation ({VAS}) site. {ELBARA}-{II}, provided by the {E}uropean {S}pace {A}gency ({ESA}) within the scientific program of the {SMOS} ({S}oil {M}oisture and {O}cean {S}alinity) mission, measures multiangular {T}-{B} data at horizontal and vertical polarization for a range of incidence angles (30 degrees-60 degrees). {B}ased on a three year data set (2010-2012), several {SM} retrieval approaches developed for spaceborne missions including {AMSR}-{E} ({A}dvanced {M}icrowave {S}canning {R}adiometer for {EOS}), {SMAP} ({S}oil {M}oisture {A}ctive {P}assive) and {SMOS} were compared. {T}he approaches include: the {S}ingle {C}hannel {A}lgorithm ({SCA}) for horizontal ({SCA}-{H}) and vertical ({SCA}-{V}) polarizations, the {D}ual {C}hannel {A}lgorithm ({DCA}), the {L}and {P}arameter {R}etrieval {M}odel ({LPRM}) and two simplified approaches based on statistical regressions (referred to as '{M}attar' and '{S}aleh'). {T}ime series of vegetation indices required for three of the algorithms ({SCA}-{H}, {SCA}-{V} and '{M}attar') were obtained from {MODIS} observations. {T}he {SM} retrievals were evaluated against reference {SM} values estimated from a multiangular 2-{P}arameter inversion approach. {A}s no in situ {SM} data was used, the evaluation made here is relative to the use of this specific reference data set. {T}he results obtained with the current base line algorithms developed for {SMAP} ({SCA}-{H} and -{V}) are in very good agreement with the 'reference' {SM} data set derived from the multi-angular observations ({R}-2 approximate to 0.90, {RMSE} varying between 0.035 and 0.056 m(3)/m(3) for several retrieval configurations). {T}his result showed that provided the relationship between vegetation optical depth and a remotely-sensed vegetation index can be calibrated, the {SCA} algorithms can provide results very close to those obtained from multi-angular observations in this study area. {T}he approaches based on statistical regressions provided similar results and the best accuracy was obtained with the '{S}aleh' methods based on either bi-angular or bipolarization observations ({R}-2 approximate to 0.93, {RMSE} 0.035 m(3)/m(3)). {T}he {LPRM} and {DCA} algorithms were found to be slightly less successful in retrieving the 'reference' {SM} time series ({R}-2 approximate to 0.75, {RMSE} 0.055 m(3)/m(3)). {H}owever, the two above approaches have the great advantage of not requiring any model calibrations previous to the {SM} retrievals.},
  keywords = {{SMOS} ; {SMAP} ; {S}oil moisture retrieval ; {ELBARA} ; {V}alencia {A}nchor {S}tation},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {154},
  numero = {{SI}},
  pages = {89--101},
  ISSN = {0034-4257},
  year = {2014},
  DOI = {10.1016/j.rse.2014.08.002},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00012462},
}