@article{PAR00010207,
  title = {{S}elf-calibrated evaporation-based disaggregation of {SMOS} soil moisture : an evaluation study at 3 km and 100 m resolution in {C}atalunya, {S}pain},
  author = {{M}erlin, {O}. and {E}scorihuela, {M}. {J}. and {M}ayoral, {M}. {A}. and {H}agolle, {O}. and {A}l {B}itar, {A}. and {K}err, {Y}ann},
  editor = {},
  language = {{ENG}},
  abstract = {{A} disaggregation algorithm is applied to 40 km resolution {SMOS} ({S}oil {M}oisture and {O}cean {S}alinity) surface soil moisture using 1 km resolution {MODIS} ({MOD}erature resolution {I}maging {S}pectroradiometer), 90 m resolution {ASTER} ({A}dvanced {S}paceborne {T}hermal {E}mission and {R}eflection radiometer), and 60 m resolution {L}andsat-7 data. {DISPATCH} ({DIS}aggregation based on {P}hysical {A}nd {T}heoretical scale {CH}ange) distributes high-resolution soil moisture around the low-resolution observed mean value using the instantaneous spatial link between optical-derived soil evaporative efficiency (ratio of actual to potential evaporation) and near-surface soil moisture. {T}he objective is three-fold: (i) evaluating {DISPATCH} at a range of spatial resolutions using readily available multi-sensor thermal data, (ii) deriving a robust calibration procedure solely based on remotely sensed data, and (iii) testing the linear or nonlinear behavior of soil evaporative efficiency. {D}isaggregated soil moisture is compared with the 0-5 cm in situ measurements collected each month from {A}pril to {O}ctober 2011 in a 20 km square spanning an irrigated and dry land area in {C}atalunya, {S}pain. {T}he target downscaling resolution is set to 3 km using {MODIS} data and to 100 m using {ASTER} and {L}andsat data. {W}hen comparing 40 km {SMOS}, 3 km disaggregated and 100 m disaggregated data with the in situ measurements aggregated at corresponding resolution, results indicate that {DISPATCH} improves the spatio-temporal correlation with in situ measurements at both 3 km and 100 m resolutions. {A} yearly calibration of {DISPATCH} is more efficient than a daily calibration. {A}ssuming a linear soil evaporative efficiency model is adequate at kilometric resolution. {A}t 100 m resolution, the very high spatial variability in the irrigated area makes the linear approximation poorer. {B}y accounting for non-linearity effects, the slope of the linear regression between disaggregated and in situ measurements is increased from 0.2 to 0.5. {S}uch a multi-sensor remote sensing approach has potential for operational multi-resolution monitoring of surface soil moisture and is likely to help parameterize soil evaporation at integrated spatial scales.},
  keywords = {{D}isaggregation ; {D}ownscaling ; {SMOS} ; {MODIS} ; {ASTER} ; {L}andsat ; {E}vaporation ; {C}alibration ; {I}rrigation ; {ESPAGNE}},
  booktitle = {},
  journal = {{R}emote {S}ensing of {E}nvironment},
  volume = {130},
  numero = {},
  pages = {25--38},
  ISSN = {0034-4257},
  year = {2013},
  DOI = {10.1016/j.rse.2012.11.008},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00010207},
}