@article{fdi:010046763,
  title = {{A} combined modeling and multispectral/multiresolution remote sensing approach for disaggregation of surface soil moisture : application to {SMOS} configuration},
  author = {{M}erlin, {O}. and {C}hehbouni, {A}bdelghani and {K}err, {Y}. and {N}joku, {E}.{G}. and {E}ntekhabi, {D}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A} new physically based disaggregation method is developed to improve the spatial resolution of the surface soil moisture extracted from the {S}oil {M}oisture and {O}cean {S}alinity ({SMOS}) data. {T}he approach combines the 40-km resolution {SMOS} multiangular brightness temperatures and 1-km resolution auxiliary data composed of visible, near-infrared, and thermal infrared remote sensing data and all the surface variables involved in the modeling of land surface-atmosphere interaction available at this scale (soil texture, atmospheric forcing, etc.). {T}he method successively estimates a relative spatial distribution of soil moisture with fine-scale auxiliary data, and normalizes this distribution at {SMOS} resolution with {SMOS} data. {T}he main assumption relies on the relationship between the radiometric soil temperature inverted from the thermal infrared and the microwave soil moisture. {B}ased on synthetic data generated with a land surface model, it is shown that the radiometric soil temperature can be used as a tracer of the spatial variability of the 0-5 cm soil moisture. {A} sensitivity analysis shows that the algorithm remains stable for big uncertainties in auxiliary data and that the uncertainty in {SMOS} observation seems to be the limiting factor. {F}inally, a simple application to the {SGP}97/{AVHRR} data illustrates the usefulness of the approach},
  keywords = {{SURFACE} {DU} {SOL} ; {HUMIDITE} {DU} {SOL} ; {INTERACTION} {OCEAN} {ATMOSPHERE} ; {SALINITE} ; {TELEDETECTION} {SPATIALE} ; {CAPTEUR} {AVHRR} ; {RADIOMETRIE} ; {MODELISATION} ; {TELEDETECTION} {MULTISPECTRALE}},
  booktitle = {},
  journal = {{IEEE} {T}ransactions on {G}eoscience and {R}emote {S}ensing},
  volume = {43},
  numero = {9},
  pages = {2036--2050},
  ISSN = {0196-2892},
  year = {2005},
  DOI = {10.1109/{TGRS}.2005.853192},
  URL = {https://www.documentation.ird.fr/hor/fdi:010046763},
}