@article{fdi:010065473,
  title = {{D}isaggregation of {SMOS} soil moisture over the {C}anadian prairies},
  author = {{D}jamai, {N}. and {M}agagi, {R}. and {G}oita, {K}. and {M}erlin, {O}livier and {K}err, {Y}ann and {W}alker, {A}.},
  editor = {},
  language = {{ENG}},
  abstract = {{I}n this study, we used the {D}isaggregation based on {P}hysical {A}nd {T}heoretical scale {C}hange ({DISPATCH}) algorithm under very wet soil conditions in {W}estern {C}anada for the disaggregation of coarse resolution 40-km soil moisture derived from the {S}oil {M}oisture {O}cean {S}alinity ({SMOS}) satellite. {T}he algorithm relies on the {S}oil {E}vaporative {E}fficiency ({SEE}), which was estimated using the 1-km resolution data from the {MOD}erate resolution {I}maging {S}pectoradiometer ({MODIS}). {T}he study aimed to: (i) evaluate {DISPATCH} under wet soil conditions, (ii) test the linearity/non-linearity of the relationship between soil moisture and {SEE}, and (iii) propose a more robust procedure to calibrate the {SEE} model under very wet soil conditions. {T}he disaggregated soil moisture values were compared to 0-5 cm in situ measurements and the soil moisture derived from the {L}-{MEB} ({L}-band {M}icrowave {E}mission of the {B}iosphere) model from airborne brightness temperature at 1.4 {GH}z collected during the {C}anadian {E}xperiment for {S}oil {M}oisture in 2010 ({C}an{E}x-{SM}10) field campaign. {T}he results show a correlation between 0.7 and 0.8 and bias values similar to 0 m(3)/m(3). {T}he {DISPATCH} algorithm shows better disaggregation results under very wet soil conditions when a non-linear relationship is considered between {SEE} and soil moisture instead of a linear model. {T}his is mainly due to the small variability of surface temperature inside the area covered by the {SMOS} pixel under very wet soil conditions, and the difficulty in accurately estimating the maximum soil temperature ({T}s-max), which is a driving factor for {SEE}. {A} sensitivity analysis was conducted and it shows that the linear model performs well only if {T}s-max can be determined more accurately. {T}he possibility to determine {T}s-max using high resolution {MODIS} data over a larger area than the {SMOS} pixel is examined and discussed in the paper.},
  keywords = {{S}oil moisture ; {SMOS} ; {D}isaggregation ; {DISPATCH} algorithm ; {C}anex-{SM}10 ; {C}anada ; {CANADA}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {170},
  numero = {},
  pages = {255--268},
  ISSN = {0034-4257},
  year = {2015},
  DOI = {10.1016/j.rse.2015.09.013},
  URL = {https://www.documentation.ird.fr/hor/fdi:010065473},
}